CA2512821A1 - Adaptive junk message filtering system - Google Patents

Adaptive junk message filtering system Download PDF

Info

Publication number
CA2512821A1
CA2512821A1 CA002512821A CA2512821A CA2512821A1 CA 2512821 A1 CA2512821 A1 CA 2512821A1 CA 002512821 A CA002512821 A CA 002512821A CA 2512821 A CA2512821 A CA 2512821A CA 2512821 A1 CA2512821 A1 CA 2512821A1
Authority
CA
Canada
Prior art keywords
filter
data
rate
new
message
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002512821A
Other languages
French (fr)
Other versions
CA2512821C (en
Inventor
Robert L. Rounthwaite
Joshua T. Goodman
David E. Heckerman
John C. Platt
Carl M. Kadie
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Microsoft Technology Licensing LLC
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of CA2512821A1 publication Critical patent/CA2512821A1/en
Application granted granted Critical
Publication of CA2512821C publication Critical patent/CA2512821C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/107—Computer-aided management of electronic mailing [e-mailing]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/21—Monitoring or handling of messages
    • H04L51/212—Monitoring or handling of messages using filtering or selective blocking

Abstract

The invention relates to a system for filtering messages - the system includ es a seed filter having associated therewith a false positive rate and a false negative rate. A new filter is also provided for filtering the messages, the new filter is evaluated according to the false positive rate and the false negative rate of the seed filter, the data used to determine the false positive rate and the false negative rate of the seed filter are utilized to determine a new false positive rate and a new false negative rate of the new filter as a function of threshold. The new filter is employed in lieu of the seed filter if a threshold exists for the new filter such that the new false positive rate and new false negative rate are together considered better tha n the false positive and the false negative rate of the seed filter.

Claims (63)

1.~A data filtering system, comprising:
a first filter for filtering messages, the first filter having associated therewith a false positive rate and a false negative rate; and a second filter for filtering the messages, the second filter evaluated according to the false positive rate and the false negative rate of the first filter, the data used to determine the false positive rate and the false negative rate of the first filter utilized to determine a new false positive rate and a new false negative rate associated with the second filter as a function of threshold, wherein the second filter is employed in lieu of the first filter if a threshold exists for the second filter such that the new false positive rate and new false negative rate are together considered better than the false positive and the false negative rate of the first filter.
2. ~The system of claim 1, the false positive rate and the false negative rate determined according to messages that are labeled as junk and non junk via employment of a user-correction process.
3. ~The system of claim 2, the user-correction process includes overriding an initial classification of a message, the initial classification performed automatically by the first filter upon receipt of the message.
4. ~The system of claim 1, the false positive rate and the false negative rate derived from content of at least one of the messages.
5. ~The system of claim 1, the false positive rate and the false negative rate derived from content of other user's e-mail messages.
6. ~The system of claim 1, the second filter is employed when the new false positive rate is worse than that of the first filter.
7. ~The system of claim 1, the false positive rate and false negative rate determined after at least one of a predetermined number of junk and non junk messages are labeled and a predetermined time has occurred.
8. ~The system of claim 1, the threshold selected from a plurality of generated threshold values, the selected threshold values determined by choosing at least one of an average threshold value over eligible threshold values, a threshold value with lowest false positive rate, and a threshold value that maximizes user's expected utility based upon a p* utility function.
9. ~The system of claim 1, the threshold selected from a plurality of threshold values, the second filter employed only if the new false positive rate and the new false negative rate are better than the false positive rate and the false negative rate of the first filter at that threshold.
10. ~The system of claim 1, further comprising a plurality of secondary filters, the plurality comprising the second filter, the system employing at least one of the secondary filters in lieu of the first filter if a threshold exists for the at least one secondary filter such that the new false positive rate and new false negative rate are together considered better than the false positive and the false negative rate of the first filter.
11. ~The system of claim 10, the secondary filters comprising M filters (M
being an integer), the system selecting filter M1 in lieu of the first filter for a particular message, and selecting filter M2 in lieu of the first filter for another message.
12. ~A computer-readable medium having computer-executable components stored thereon to effect the system of claim 1.
13. A computer comprising the system of claim 1.
14. A network comprising the system of claim 1.
15. A portable computing device comprising the system of claim 1.
16. The device of claim 15 being one of: a personal data assistant, a telephone or a laptop computer.
17. A data filter, comprising:
a first filter for filtering messages, and having first accuracy data associated therewith; and a second filter for filtering the messages, and having associated therewith second accuracy data, the second filter evaluated with the first accuracy data, the data used to determine the first accuracy data are utilized to determine the second accuracy data as a function of threshold, wherein the second filter is employed if a threshold exists for the second filter such that the second accuracy data is considered better than the first accuracy data.
18. The filter of claim 17, the second filter employed at least one of in combination with the first filter and in lieu of the first filter.
19. The filter of claim 17, the second filter employed when the second accuracy rate is at least the same as the first accuracy rate.
20. The filter of claim 17, at least one of the first accuracy data and the second accuracy data comprises a false positive rate and a false negative rate.
21. The filter of claim 17, the first accuracy data and the second accuracy data determined based at least upon one of message text and message content.
22. The filter of claim 17, the first filter being a seed filter derived from processing other user e-mail data.
23. The filter of claim 17, the first accuracy data determined according to a user-correction process wherein a user reviews the data, which data is a message, and tags the message as one of a junk message and a non junk message.
24. The filter of claim 23, the user-correction process includes overriding an initial classification of the message, the initial classification performed automatically by the first filter when the message is received.
25. The filter of claim 17, the second filter employed when the threshold value that is used to employ the second filter is at least as efficient as the first filter based upon a p* function where N is at least twenty.
26. The filter of claim 17, the first accuracy data determined according to a predetermined set of data known with a high degree of certainty to be correct.
27. The filter of claim 26, the predetermined set of data including at least one of a message that is tagged by the user as a non junk message, a message that is read and deleted by the user, a message that is forwarded by the user, and a message that is replied to by the user.
28. The filter of claim 17, the first accuracy data determined by a probability value that is received from a calibrated filter, which probability value is used to estimate a false positive rate of the first accuracy data.
29. The filter of claim 17, the first accuracy data utilized to generate an expectation value.
30. The filter of claim 29, the second filter employed only if the actual number of user corrections is at least the same as the expectation value.
31. ~The filter of claim 17, the threshold selected from a plurality of threshold values, the new filter employed only if the second accuracy data is better than the first accuracy data at that threshold.
32. ~A method of facilitating data filtering, comprising:
determining a false positive rate and a false negative rate associated with a seed filter;
training a new filter utilizing seed data associated with the seed filter, the seed data used in determining a new false positive rate and a new false negative rate of the new filter as a function of threshold; and employing the new filter in lieu of the seed filter if a threshold exists for the new filter such that the new false positive and new false negative rates are together considered better than that of the seed filter.
33. ~The method of claim 32, generating in part the seed data based upon labeling messages as junk and non junk via employment of a user-correction process.
34. ~The method of claim 32, the user-correction process includes overriding an initial classification of the message(s), the initial classification performed automatically by the seed filter receiving the message(s).
35. The method of claim 32, further comprising deriving the seed data from content of an e-mail message.
36. The method of claim 32, further comprising deriving the seed data from content of other user's e-mail messages.
37. The method of claim 32, further comprising employing the new filter when the new false positive rate is worse than that of the seed filter.
38. The method of claim 32, further comprising determining the false positive rate and false negative rate after at least one of a predetermined number of junk and non-junk messages are labeled, and a predetermined time has occurred.
39. The method of claim 32, employing the new filter if the new false positive and new false negative rates are together considered better than that of the seed filter at a current threshold setting and a weighted value is at least zero.
40. The method of claim 39, increasing the weighted value when performance of the new filter is better at the current threshold setting than at a non-current threshold setting, which non-current threshold setting is a threshold other than the current threshold, and decreasing the weighted value when performance of the new filter is worse at the current threshold setting than at the non-current threshold setting.
41. A method of filtering data, comprising:
receiving at least a first filter and a second filter;
determining a first accuracy data of the first filter;
training the second filter utilizing the first accuracy data;
determining a second accuracy data of the second filter as a function of threshold; and employing the second filter when a predetermined threshold value is reached.
42. The method of claim 41, the second filter employed at least one of in combination with the first filter and in lieu of the first filter.
43. The method of claim 41, the second filter employed when the second accuracy rate is at least the same as the first accuracy rate.
44. The method of claim 41, at least one of the first accuracy data and the second accuracy data comprises a false positive rate and a false negative rate.
45. ~The method of claim 41, the first accuracy data and the second accuracy data determined based at least upon one of e-mail text and e-mail content.
46. ~The method of claim 41, the first filter being a seed filter derived from processing other user e-mail data.
47. ~The method of claim 41, the first accuracy data determined according to a user-correction process wherein a user reviews the data, which data is an e-mail message, and tags the e-mail message as one of a junk message and a non junk message.
48. ~The method of claim 47, the user-correction process includes overriding an initial classification of the e-mail message, the initial classification performed automatically by the first filter when the e-mail message is received.
49. ~The method of claim 41, further comprising employing the second filter when the threshold value that is used to generate the second filter is at least as efficient as the first filter based upon a p* function where N is at least twenty.
50. ~The method of claim 41, the first accuracy data determined according to a predetermined set of data known with a high degree of certainty to be correct.
51. ~The method of claim 50, the predetermined set of data including at least one of a message that is tagged by the user as a non junk message, a message that is read and deleted by the user, a message that is forwarded by the user, and a message that is replied to by the user.
52. ~The method of claim 41, the first accuracy data determined by a probability value that is received from a calibrated filter, which probability value is used to estimate a false positive rate of the first accuracy data.
53. ~The method of claim 41, further comprising generating an expectation value based upon the first accuracy data.
54. ~The method of claim 53, employing the second filter only if the actual number of user corrections is at least the same as the expectation value.
55. ~A graphical user interface for facilitating data filtering, comprising:
a filter interface adapted to communicate with a configuration system for configuring a filter;
at least one input of the filter interface for receiving filter configuration information for configuring the filter; and at least one output of the filter interface for committing the filter configuration information to the configuration system to generate.
56. ~The interface of claim 55 operable to commit the filter configuration information for processing to generate an updated message filter.
57. ~The interface of claim 55 operable to provide a plurality of user-selectable filter levels including at least one of default, enhanced, and exclusive.
58. ~The interface of claim 55, further comprising a user mailbox interface for facilitating tagging of a message as junk.
59. ~The interface of claim 58, the user mailbox interface facilitating access to at least one of a junk mail folder and an old junk mail folder.
60. ~A computer-readable medium having computer executable instructions for configuring a message filter, comprising:
a first filter for filtering messages, the first filter having associated therewith a false positive rate and a false negative rate; and a second filter for filtering the messages, the second filter evaluated according to the false positive rate and the false negative rate, the data used to determine the false positive rate and false negative rate of the first filter are utilized to determine a new false positive rate and a new false negative rate of the second filter as a function of threshold, wherein the second filter is employed in lieu of the first filter if a threshold exists for the second filter such that the new false positive rate and new false negative rate are together considered better than the false positive and the false negative rate of the first filter.
61. ~The computer-readable medium of claim 60, the false positive rate and the false negative rate determined according to a user-correction process wherein a user reviews the data, which data is an e-mail message, and tags the e-mail message as one of a junk message and a non junk message.
62. ~The computer-readable medium of claim 60, the second filter employed when the second accuracy rate is at least the same as the first accuracy rate.
63. ~A data filtering system, comprising:
means for receiving messages;
first means for filtering the messages, the first means for filtering having associated therewith a false positive rate and a false negative rate;
and new means for filtering the messages, the new means for filtering being trained according to the false positive rate and the false negative rate of the first means for filtering, the data used to determine the false positive rate and the false negative rate of the first filter are utilized to determine a new false positive rate and a new false negative rate associated with the new filtering means as a function of threshold, wherein the new filtering means is employed in lieu of the first filtering means if a threshold exists for the new filtering means such that the new false positive rate and new false negative rate are together considered better than the false positive and the false negative rate of the first filtering means.
CA2512821A 2003-02-25 2003-12-31 Adaptive junk message filtering system Expired - Fee Related CA2512821C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US10/374,005 US7249162B2 (en) 2003-02-25 2003-02-25 Adaptive junk message filtering system
US10/374,005 2003-02-25
PCT/US2003/041526 WO2004079501A2 (en) 2003-02-25 2003-12-31 Adaptive junk message filtering system

Publications (2)

Publication Number Publication Date
CA2512821A1 true CA2512821A1 (en) 2004-09-16
CA2512821C CA2512821C (en) 2012-12-18

Family

ID=32868786

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2512821A Expired - Fee Related CA2512821C (en) 2003-02-25 2003-12-31 Adaptive junk message filtering system

Country Status (19)

Country Link
US (2) US7249162B2 (en)
EP (1) EP1597645B1 (en)
JP (1) JP4524192B2 (en)
KR (1) KR101076908B1 (en)
CN (1) CN100437544C (en)
AT (1) ATE464722T1 (en)
AU (1) AU2003300051B2 (en)
BR (1) BR0318024A (en)
CA (1) CA2512821C (en)
DE (1) DE60332168D1 (en)
HK (1) HK1085286A1 (en)
IL (1) IL169885A (en)
MX (1) MXPA05008205A (en)
NO (1) NO20053915L (en)
NZ (1) NZ541391A (en)
RU (1) RU2327205C2 (en)
TW (1) TWI393391B (en)
WO (1) WO2004079501A2 (en)
ZA (1) ZA200505907B (en)

Families Citing this family (189)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6999955B1 (en) * 1999-04-20 2006-02-14 Microsoft Corporation Systems and methods for estimating and integrating measures of human cognitive load into the behavior of computational applications and services
US7640305B1 (en) * 2001-06-14 2009-12-29 Apple Inc. Filtering of data
US7849141B1 (en) 2001-06-14 2010-12-07 Apple Inc. Training a computer storage system for automatic filing of data using graphical representations of storage locations
US7155608B1 (en) * 2001-12-05 2006-12-26 Bellsouth Intellectual Property Corp. Foreign network SPAM blocker
US8046832B2 (en) 2002-06-26 2011-10-25 Microsoft Corporation Spam detector with challenges
US8396926B1 (en) 2002-07-16 2013-03-12 Sonicwall, Inc. Message challenge response
US8924484B2 (en) * 2002-07-16 2014-12-30 Sonicwall, Inc. Active e-mail filter with challenge-response
US7539726B1 (en) 2002-07-16 2009-05-26 Sonicwall, Inc. Message testing
US7908330B2 (en) 2003-03-11 2011-03-15 Sonicwall, Inc. Message auditing
US7406502B1 (en) 2003-02-20 2008-07-29 Sonicwall, Inc. Method and system for classifying a message based on canonical equivalent of acceptable items included in the message
US8266215B2 (en) * 2003-02-20 2012-09-11 Sonicwall, Inc. Using distinguishing properties to classify messages
US7299261B1 (en) 2003-02-20 2007-11-20 Mailfrontier, Inc. A Wholly Owned Subsidiary Of Sonicwall, Inc. Message classification using a summary
US7249162B2 (en) * 2003-02-25 2007-07-24 Microsoft Corporation Adaptive junk message filtering system
US7543053B2 (en) 2003-03-03 2009-06-02 Microsoft Corporation Intelligent quarantining for spam prevention
US7219148B2 (en) * 2003-03-03 2007-05-15 Microsoft Corporation Feedback loop for spam prevention
US20050091320A1 (en) * 2003-10-09 2005-04-28 Kirsch Steven T. Method and system for categorizing and processing e-mails
US7856477B2 (en) * 2003-04-04 2010-12-21 Yahoo! Inc. Method and system for image verification to prevent messaging abuse
US7680886B1 (en) * 2003-04-09 2010-03-16 Symantec Corporation Suppressing spam using a machine learning based spam filter
US7483947B2 (en) 2003-05-02 2009-01-27 Microsoft Corporation Message rendering for identification of content features
US7272853B2 (en) 2003-06-04 2007-09-18 Microsoft Corporation Origination/destination features and lists for spam prevention
US20050044153A1 (en) * 2003-06-12 2005-02-24 William Gross Email processing system
US7711779B2 (en) 2003-06-20 2010-05-04 Microsoft Corporation Prevention of outgoing spam
US9715678B2 (en) 2003-06-26 2017-07-25 Microsoft Technology Licensing, Llc Side-by-side shared calendars
US7155484B2 (en) * 2003-06-30 2006-12-26 Bellsouth Intellectual Property Corporation Filtering email messages corresponding to undesirable geographical regions
US7707255B2 (en) 2003-07-01 2010-04-27 Microsoft Corporation Automatic grouping of electronic mail
US8214437B1 (en) * 2003-07-21 2012-07-03 Aol Inc. Online adaptive filtering of messages
US7814545B2 (en) 2003-07-22 2010-10-12 Sonicwall, Inc. Message classification using classifiers
US7835294B2 (en) * 2003-09-03 2010-11-16 Gary Stephen Shuster Message filtering method
US20050071432A1 (en) * 2003-09-29 2005-03-31 Royston Clifton W. Probabilistic email intrusion identification methods and systems
US20050080642A1 (en) * 2003-10-14 2005-04-14 Daniell W. Todd Consolidated email filtering user interface
US7451184B2 (en) * 2003-10-14 2008-11-11 At&T Intellectual Property I, L.P. Child protection from harmful email
US7930351B2 (en) * 2003-10-14 2011-04-19 At&T Intellectual Property I, L.P. Identifying undesired email messages having attachments
US7610341B2 (en) * 2003-10-14 2009-10-27 At&T Intellectual Property I, L.P. Filtered email differentiation
US7921159B1 (en) * 2003-10-14 2011-04-05 Symantec Corporation Countering spam that uses disguised characters
US7664812B2 (en) * 2003-10-14 2010-02-16 At&T Intellectual Property I, L.P. Phonetic filtering of undesired email messages
US7715059B2 (en) * 2003-10-22 2010-05-11 International Business Machines Corporation Facsimile system, method and program product with junk fax disposal
US7590694B2 (en) 2004-01-16 2009-09-15 Gozoom.Com, Inc. System for determining degrees of similarity in email message information
CA2554915C (en) * 2004-02-17 2013-05-28 Ironport Systems, Inc. Collecting, aggregating, and managing information relating to electronic messages
US8214438B2 (en) 2004-03-01 2012-07-03 Microsoft Corporation (More) advanced spam detection features
US7644127B2 (en) * 2004-03-09 2010-01-05 Gozoom.Com, Inc. Email analysis using fuzzy matching of text
US8918466B2 (en) * 2004-03-09 2014-12-23 Tonny Yu System for email processing and analysis
US7631044B2 (en) 2004-03-09 2009-12-08 Gozoom.Com, Inc. Suppression of undesirable network messages
DE102004014139B4 (en) * 2004-03-23 2006-07-20 Vodafone Holding Gmbh Electronic message e.g. electronic mail, classifying system, has combination unit assigned to assessment units, and whose output is connected with inputs of assessment units which are designed to provide and transmit message with value
US20050223074A1 (en) * 2004-03-31 2005-10-06 Morris Robert P System and method for providing user selectable electronic message action choices and processing
US20090100523A1 (en) * 2004-04-30 2009-04-16 Harris Scott C Spam detection within images of a communication
US20050254100A1 (en) * 2004-05-17 2005-11-17 Venali, Inc. Ticket exchange for combating fax spam
US7461063B1 (en) * 2004-05-26 2008-12-02 Proofpoint, Inc. Updating logistic regression models using coherent gradient
US7756930B2 (en) * 2004-05-28 2010-07-13 Ironport Systems, Inc. Techniques for determining the reputation of a message sender
US7873695B2 (en) 2004-05-29 2011-01-18 Ironport Systems, Inc. Managing connections and messages at a server by associating different actions for both different senders and different recipients
US7849142B2 (en) * 2004-05-29 2010-12-07 Ironport Systems, Inc. Managing connections, messages, and directory harvest attacks at a server
US20060031318A1 (en) * 2004-06-14 2006-02-09 Gellens Randall C Communicating information about the content of electronic messages to a server
US7664819B2 (en) * 2004-06-29 2010-02-16 Microsoft Corporation Incremental anti-spam lookup and update service
US7904517B2 (en) 2004-08-09 2011-03-08 Microsoft Corporation Challenge response systems
US7660865B2 (en) * 2004-08-12 2010-02-09 Microsoft Corporation Spam filtering with probabilistic secure hashes
US8255828B2 (en) 2004-08-16 2012-08-28 Microsoft Corporation Command user interface for displaying selectable software functionality controls
US8146016B2 (en) 2004-08-16 2012-03-27 Microsoft Corporation User interface for displaying a gallery of formatting options applicable to a selected object
US7703036B2 (en) 2004-08-16 2010-04-20 Microsoft Corporation User interface for displaying selectable software functionality controls that are relevant to a selected object
US9015621B2 (en) 2004-08-16 2015-04-21 Microsoft Technology Licensing, Llc Command user interface for displaying multiple sections of software functionality controls
US7895531B2 (en) 2004-08-16 2011-02-22 Microsoft Corporation Floating command object
FI20041159A0 (en) 2004-09-07 2004-09-07 Nokia Corp A method for filtering messages over a computer network
FR2875317A1 (en) * 2004-09-10 2006-03-17 France Telecom METHOD FOR MONITORING ELECTRONIC COURIERES ISSUED AND / OR RECEIVED BY A CLIENT OF AN INTERNET ACCESS PROVIDER WITHIN A TELECOMMUNICATION NETWORK
US20060075048A1 (en) * 2004-09-14 2006-04-06 Aladdin Knowledge Systems Ltd. Method and system for identifying and blocking spam email messages at an inspecting point
EP1672936B1 (en) * 2004-12-16 2018-12-05 Sony Mobile Communications Inc. Prevention of unsolicited messages
KR100641410B1 (en) 2004-12-17 2006-11-01 엔에이치엔(주) Method for Filtering Short Message Edited with Special Letters and Mobile Terminal Using the Same
US8396927B2 (en) * 2004-12-21 2013-03-12 Alcatel Lucent Detection of unwanted messages (spam)
US7752272B2 (en) * 2005-01-11 2010-07-06 Research In Motion Limited System and method for filter content pushed to client device
US8874646B2 (en) * 2005-02-28 2014-10-28 Nhn Corporation Message managing system, message managing method and recording medium storing program for that method execution
US8930261B2 (en) * 2005-04-21 2015-01-06 Verint Americas Inc. Method and system for generating a fraud risk score using telephony channel based audio and non-audio data
US9571652B1 (en) 2005-04-21 2017-02-14 Verint Americas Inc. Enhanced diarization systems, media and methods of use
US8639757B1 (en) 2011-08-12 2014-01-28 Sprint Communications Company L.P. User localization using friend location information
CA2607005C (en) * 2005-05-05 2012-02-07 Ironport Systems, Inc. Identifying threats in electronic messages
US8078740B2 (en) 2005-06-03 2011-12-13 Microsoft Corporation Running internet applications with low rights
US7865830B2 (en) 2005-07-12 2011-01-04 Microsoft Corporation Feed and email content
US7930353B2 (en) * 2005-07-29 2011-04-19 Microsoft Corporation Trees of classifiers for detecting email spam
US9542667B2 (en) 2005-09-09 2017-01-10 Microsoft Technology Licensing, Llc Navigating messages within a thread
US8627222B2 (en) 2005-09-12 2014-01-07 Microsoft Corporation Expanded search and find user interface
US20070118759A1 (en) * 2005-10-07 2007-05-24 Sheppard Scott K Undesirable email determination
US8065370B2 (en) 2005-11-03 2011-11-22 Microsoft Corporation Proofs to filter spam
US8272064B2 (en) * 2005-11-16 2012-09-18 The Boeing Company Automated rule generation for a secure downgrader
US7451145B1 (en) * 2005-12-13 2008-11-11 At&T Corp. Method and apparatus for recursively analyzing log file data in a network
EP1806885A1 (en) * 2006-01-05 2007-07-11 Alcatel Lucent Electronic messaging management method and system
US8131805B2 (en) * 2006-03-01 2012-03-06 Research In Motion Limited Multilevel anti-spam system and method with load balancing
US7685271B1 (en) * 2006-03-30 2010-03-23 Symantec Corporation Distributed platform for testing filtering rules
US8417783B1 (en) * 2006-05-31 2013-04-09 Proofpoint, Inc. System and method for improving feature selection for a spam filtering model
US9727989B2 (en) 2006-06-01 2017-08-08 Microsoft Technology Licensing, Llc Modifying and formatting a chart using pictorially provided chart elements
US8185737B2 (en) 2006-06-23 2012-05-22 Microsoft Corporation Communication across domains
CN101098504A (en) * 2006-06-29 2008-01-02 卢森特技术有限公司 SMPP message process for SMS rubbish filtering
US20080005238A1 (en) * 2006-06-29 2008-01-03 Microsoft Corporation Roaming consistent user representation information across devices and applications
US8166113B2 (en) * 2006-08-02 2012-04-24 Microsoft Corporation Access limited EMM distribution lists
JP4405500B2 (en) * 2006-12-08 2010-01-27 インターナショナル・ビジネス・マシーンズ・コーポレーション Evaluation method and apparatus for trend analysis system
US7606214B1 (en) * 2006-09-14 2009-10-20 Trend Micro Incorporated Anti-spam implementations in a router at the network layer
CN101166159B (en) * 2006-10-18 2010-07-28 阿里巴巴集团控股有限公司 A method and system for identifying rubbish information
US20080096592A1 (en) * 2006-10-19 2008-04-24 Waytena William L Systems and Methods for Providing Communications Services Using Assigned Codes
US8224905B2 (en) 2006-12-06 2012-07-17 Microsoft Corporation Spam filtration utilizing sender activity data
US7921176B2 (en) * 2007-01-03 2011-04-05 Madnani Rajkumar R Mechanism for generating a composite email
US8260957B2 (en) 2007-02-22 2012-09-04 Telefonaktiebolaget Lm Ericsson (Publ) Group access to IP multimedia subsystem service
US8381096B2 (en) * 2007-03-15 2013-02-19 Yahoo! Inc. Managing list tailoring for a mobile device
US20080235246A1 (en) * 2007-03-20 2008-09-25 Arun Hampapur Filter sequencing based on a publish-subscribe architecture for digital signal processing
JP4904466B2 (en) * 2007-04-26 2012-03-28 キヤノンＩｔソリューションズ株式会社 Information processing apparatus, information processing apparatus control method, program, and recording medium
US10019570B2 (en) 2007-06-14 2018-07-10 Microsoft Technology Licensing, Llc Protection and communication abstractions for web browsers
US8201103B2 (en) 2007-06-29 2012-06-12 Microsoft Corporation Accessing an out-space user interface for a document editor program
US8484578B2 (en) 2007-06-29 2013-07-09 Microsoft Corporation Communication between a document editor in-space user interface and a document editor out-space user interface
US8762880B2 (en) 2007-06-29 2014-06-24 Microsoft Corporation Exposing non-authoring features through document status information in an out-space user interface
US7890590B1 (en) * 2007-09-27 2011-02-15 Symantec Corporation Variable bayesian handicapping to provide adjustable error tolerance level
US20090089381A1 (en) * 2007-09-28 2009-04-02 Microsoft Corporation Pending and exclusive electronic mail inbox
JP4963099B2 (en) * 2007-10-23 2012-06-27 Ｋｄｄｉ株式会社 E-mail filtering device, e-mail filtering method and program
JP5032286B2 (en) * 2007-12-10 2012-09-26 株式会社ジャストシステム Filtering processing method, filtering processing program, and filtering apparatus
US20090183227A1 (en) * 2008-01-11 2009-07-16 Microsoft Corporation Secure Runtime Execution of Web Script Content on a Client
US7996897B2 (en) * 2008-01-23 2011-08-09 Yahoo! Inc. Learning framework for online applications
US9588781B2 (en) 2008-03-31 2017-03-07 Microsoft Technology Licensing, Llc Associating command surfaces with multiple active components
US7970814B2 (en) * 2008-05-20 2011-06-28 Raytheon Company Method and apparatus for providing a synchronous interface for an asynchronous service
US20090292785A1 (en) * 2008-05-20 2009-11-26 Raytheon Company System and method for dynamic contact lists
WO2009143107A2 (en) * 2008-05-20 2009-11-26 Raytheon Company System and method for collaborative messaging and data distribution
WO2009143104A1 (en) 2008-05-20 2009-11-26 Raytheon Company System and method for maintaining stateful information
WO2009143108A1 (en) * 2008-05-20 2009-11-26 Raytheon Company System and method for message filtering
TW200949570A (en) * 2008-05-23 2009-12-01 Univ Nat Taiwan Science Tech Method for filtering e-mail and mail filtering system thereof
US9665850B2 (en) 2008-06-20 2017-05-30 Microsoft Technology Licensing, Llc Synchronized conversation-centric message list and message reading pane
US8402096B2 (en) * 2008-06-24 2013-03-19 Microsoft Corporation Automatic conversation techniques
US8490185B2 (en) * 2008-06-27 2013-07-16 Microsoft Corporation Dynamic spam view settings
US8554847B2 (en) * 2008-07-15 2013-10-08 Yahoo! Inc. Anti-spam profile clustering based on user behavior
US20100070372A1 (en) * 2008-09-17 2010-03-18 Yahoo! Inc. Using spam and user actions to infer advertisements
US20100211641A1 (en) * 2009-02-16 2010-08-19 Microsoft Corporation Personalized email filtering
US9046983B2 (en) 2009-05-12 2015-06-02 Microsoft Technology Licensing, Llc Hierarchically-organized control galleries
US7930430B2 (en) 2009-07-08 2011-04-19 Xobni Corporation Systems and methods to provide assistance during address input
US9152952B2 (en) 2009-08-04 2015-10-06 Yahoo! Inc. Spam filtering and person profiles
US9021028B2 (en) 2009-08-04 2015-04-28 Yahoo! Inc. Systems and methods for spam filtering
US9529864B2 (en) 2009-08-28 2016-12-27 Microsoft Technology Licensing, Llc Data mining electronic communications
US8205264B1 (en) * 2009-09-04 2012-06-19 zScaler Method and system for automated evaluation of spam filters
US9183544B2 (en) 2009-10-14 2015-11-10 Yahoo! Inc. Generating a relationship history
US8959159B2 (en) * 2010-04-01 2015-02-17 Microsoft Corporation Personalized email interactions applied to global filtering
US8843568B2 (en) * 2010-05-17 2014-09-23 Microsoft Corporation Email tags
TWI423636B (en) * 2010-05-19 2014-01-11 Chunghwa Telecom Co Ltd System and method for instant inspection of mail packets
US8880622B2 (en) * 2010-06-30 2014-11-04 International Business Machines Corporation Message thread management using dynamic pointers
US8464342B2 (en) * 2010-08-31 2013-06-11 Microsoft Corporation Adaptively selecting electronic message scanning rules
US8635289B2 (en) 2010-08-31 2014-01-21 Microsoft Corporation Adaptive electronic message scanning
RU2540830C2 (en) * 2010-09-28 2015-02-10 Сименс Акциенгезелльшафт Adaptive remote maintenance of rolling stocks
JP5025776B2 (en) * 2010-09-28 2012-09-12 株式会社東芝 Abnormality diagnosis filter generator
US8589732B2 (en) 2010-10-25 2013-11-19 Microsoft Corporation Consistent messaging with replication
US9209993B2 (en) * 2010-11-16 2015-12-08 Microsoft Technology Licensing, Llc Cooperative session-based filtering
CN102480705B (en) * 2010-11-26 2015-11-25 卓望数码技术（深圳）有限公司 A kind of method and system according to number graph of a relation filtrating rubbish short message
US8744979B2 (en) * 2010-12-06 2014-06-03 Microsoft Corporation Electronic communications triage using recipient's historical behavioral and feedback
CN102567304B (en) * 2010-12-24 2014-02-26 北大方正集团有限公司 Filtering method and device for network malicious information
US8620836B2 (en) * 2011-01-10 2013-12-31 Accenture Global Services Limited Preprocessing of text
US8504492B2 (en) 2011-01-10 2013-08-06 Accenture Global Services Limited Identification of attributes and values using multiple classifiers
EP2664071B1 (en) * 2011-01-14 2018-07-11 Koninklijke Philips N.V. Diverse radio receiver system
US8635291B2 (en) 2011-02-18 2014-01-21 Blackberry Limited Communication device and method for overriding a message filter
US9294306B2 (en) * 2011-03-11 2016-03-22 Shutterfly, Inc. Intelligent prevention of spam emails at share sites
RU2453919C1 (en) * 2011-03-28 2012-06-20 Закрытое акционерное общество "Лаборатория Касперского" Method of detecting spam in bitmap image
US9519682B1 (en) 2011-05-26 2016-12-13 Yahoo! Inc. User trustworthiness
US10277452B2 (en) * 2011-07-08 2019-04-30 Gree, Inc. Message processing system and message processing method
RU2586062C2 (en) 2011-11-15 2016-06-10 Нек Корпорейшн Network communication device and method for selective restriction of bandwidth of transmission frame
US8954519B2 (en) * 2012-01-25 2015-02-10 Bitdefender IPR Management Ltd. Systems and methods for spam detection using character histograms
US9152953B2 (en) * 2012-02-10 2015-10-06 International Business Machines Corporation Multi-tiered approach to E-mail prioritization
US9256862B2 (en) * 2012-02-10 2016-02-09 International Business Machines Corporation Multi-tiered approach to E-mail prioritization
RU2510982C2 (en) 2012-04-06 2014-04-10 Закрытое акционерное общество "Лаборатория Касперского" User evaluation system and method for message filtering
US9876742B2 (en) * 2012-06-29 2018-01-23 Microsoft Technology Licensing, Llc Techniques to select and prioritize application of junk email filtering rules
TWI516158B (en) 2012-07-19 2016-01-01 葉宏堯 Portable electronic access device and wireless data network system
US9368116B2 (en) 2012-09-07 2016-06-14 Verint Systems Ltd. Speaker separation in diarization
WO2014046974A2 (en) 2012-09-20 2014-03-27 Case Paul Sr Case secure computer architecture
EP2923279B1 (en) * 2012-11-21 2016-11-02 Coherent Logix Incorporated Processing system with interspersed processors; dma-fifo
US10134401B2 (en) 2012-11-21 2018-11-20 Verint Systems Ltd. Diarization using linguistic labeling
US9575633B2 (en) * 2012-12-04 2017-02-21 Ca, Inc. User interface utility across service providers
US8966203B2 (en) * 2013-01-04 2015-02-24 Microsoft Corporation Shared and managed memory unified access
CN103970801B (en) * 2013-02-05 2019-03-26 腾讯科技（深圳）有限公司 Microblogging advertisement blog article recognition methods and device
US9460722B2 (en) 2013-07-17 2016-10-04 Verint Systems Ltd. Blind diarization of recorded calls with arbitrary number of speakers
US9984706B2 (en) 2013-08-01 2018-05-29 Verint Systems Ltd. Voice activity detection using a soft decision mechanism
RU2638634C2 (en) * 2014-01-23 2017-12-14 Общество с ограниченной ответственностью "Аби Продакшн" Automatic training of syntactic and semantic analysis program with use of genetic algorithm
CN103793838A (en) * 2014-01-26 2014-05-14 宇龙计算机通信科技(深圳)有限公司 Advertisement intercepting method and device
US10931692B1 (en) * 2015-01-22 2021-02-23 Cisco Technology, Inc. Filtering mechanism to reduce false positives of ML-based anomaly detectors and classifiers
US9875742B2 (en) 2015-01-26 2018-01-23 Verint Systems Ltd. Word-level blind diarization of recorded calls with arbitrary number of speakers
US20160335432A1 (en) * 2015-05-17 2016-11-17 Bitdefender IPR Management Ltd. Cascading Classifiers For Computer Security Applications
CN106663169B (en) * 2015-07-24 2021-03-09 策安保安有限公司 System and method for high speed threat intelligence management using unsupervised machine learning and priority algorithms
US20170222960A1 (en) * 2016-02-01 2017-08-03 Linkedin Corporation Spam processing with continuous model training
US10063435B2 (en) * 2016-04-11 2018-08-28 The Boeing Company System and method for context aware network filtering
CN106201829B (en) * 2016-07-18 2019-01-22 中国银联股份有限公司 Monitor Threshold and device, monitoring alarm method, apparatus and system
CN107040450B (en) * 2016-07-20 2018-06-01 平安科技（深圳）有限公司 Automatic reply method and device
US10838584B2 (en) 2016-10-31 2020-11-17 Microsoft Technology Licensing, Llc Template based calendar events with graphic enrichment
US10911382B2 (en) * 2017-01-30 2021-02-02 Futurewei Technologies, Inc. Personalized message priority classification
US11232369B1 (en) * 2017-09-08 2022-01-25 Facebook, Inc. Training data quality for spam classification
CN107798390B (en) 2017-11-22 2023-03-21 创新先进技术有限公司 Training method and device of machine learning model and electronic equipment
US11544577B1 (en) * 2018-01-26 2023-01-03 Amazon Technologies, Inc. Adaptable filtering for edge-based deep learning models
US11538128B2 (en) 2018-05-14 2022-12-27 Verint Americas Inc. User interface for fraud alert management
US10887452B2 (en) 2018-10-25 2021-01-05 Verint Americas Inc. System architecture for fraud detection
EP3987743A1 (en) 2019-06-20 2022-04-27 Verint Americas Inc. Systems and methods for authentication and fraud detection
US11868453B2 (en) 2019-11-07 2024-01-09 Verint Americas Inc. Systems and methods for customer authentication based on audio-of-interest
CN111221970B (en) * 2019-12-31 2022-06-07 论客科技（广州）有限公司 Mail classification method and device based on behavior structure and semantic content joint analysis
US11847537B2 (en) * 2020-08-12 2023-12-19 Bank Of America Corporation Machine learning based analysis of electronic communications
US11558335B2 (en) 2020-09-23 2023-01-17 International Business Machines Corporation Generative notification management mechanism via risk score computation
US11528242B2 (en) * 2020-10-23 2022-12-13 Abnormal Security Corporation Discovering graymail through real-time analysis of incoming email

Family Cites Families (99)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US199095A (en) * 1878-01-08 Improvement in amalgamators
US184315A (en) * 1876-11-14 Improvement in combined stopper and dropper for bottles
GB8918553D0 (en) * 1989-08-15 1989-09-27 Digital Equipment Int Message control system
US5619648A (en) * 1994-11-30 1997-04-08 Lucent Technologies Inc. Message filtering techniques
US5845077A (en) * 1995-11-27 1998-12-01 Microsoft Corporation Method and system for identifying and obtaining computer software from a remote computer
US6101531A (en) * 1995-12-19 2000-08-08 Motorola, Inc. System for communicating user-selected criteria filter prepared at wireless client to communication server for filtering data transferred from host to said wireless client
EP0870386B1 (en) 1995-12-29 2000-04-12 Tixi.Com GmbH Telecommunication Method and microcomputer system for the automatic, secure and direct transmission of data
JP2002516042A (en) 1996-01-31 2002-05-28 イプシロン ネットワークス インコーポレイテッド Method and apparatus for dynamically shifting between packet routing and switching in a transmission network
US5704017A (en) * 1996-02-16 1997-12-30 Microsoft Corporation Collaborative filtering utilizing a belief network
US5884033A (en) * 1996-05-15 1999-03-16 Spyglass, Inc. Internet filtering system for filtering data transferred over the internet utilizing immediate and deferred filtering actions
US6151643A (en) 1996-06-07 2000-11-21 Networks Associates, Inc. Automatic updating of diverse software products on multiple client computer systems by downloading scanning application to client computer and generating software list on client computer
US6453327B1 (en) * 1996-06-10 2002-09-17 Sun Microsystems, Inc. Method and apparatus for identifying and discarding junk electronic mail
US6072942A (en) * 1996-09-18 2000-06-06 Secure Computing Corporation System and method of electronic mail filtering using interconnected nodes
US5905859A (en) * 1997-01-09 1999-05-18 International Business Machines Corporation Managed network device security method and apparatus
US5805801A (en) * 1997-01-09 1998-09-08 International Business Machines Corporation System and method for detecting and preventing security
US6742047B1 (en) * 1997-03-27 2004-05-25 Intel Corporation Method and apparatus for dynamically filtering network content
EP0881559B1 (en) * 1997-05-28 2003-08-20 Siemens Aktiengesellschaft Computer system for protecting software and a method for protecting software
DE69841210D1 (en) * 1997-07-24 2009-11-12 Axway Inc Email Firewall
US7117358B2 (en) * 1997-07-24 2006-10-03 Tumbleweed Communications Corp. Method and system for filtering communication
US6199102B1 (en) * 1997-08-26 2001-03-06 Christopher Alan Cobb Method and system for filtering electronic messages
US6195686B1 (en) * 1997-09-29 2001-02-27 Ericsson Inc. Messaging application having a plurality of interfacing capabilities
US6393465B2 (en) * 1997-11-25 2002-05-21 Nixmail Corporation Junk electronic mail detector and eliminator
AU1907899A (en) * 1997-12-22 1999-07-12 Accepted Marketing, Inc. E-mail filter and method thereof
US6023723A (en) * 1997-12-22 2000-02-08 Accepted Marketing, Inc. Method and system for filtering unwanted junk e-mail utilizing a plurality of filtering mechanisms
US6052709A (en) * 1997-12-23 2000-04-18 Bright Light Technologies, Inc. Apparatus and method for controlling delivery of unsolicited electronic mail
GB2334116A (en) * 1998-02-04 1999-08-11 Ibm Scheduling and dispatching queued client requests within a server computer
US6484261B1 (en) * 1998-02-17 2002-11-19 Cisco Technology, Inc. Graphical network security policy management
US6504941B2 (en) * 1998-04-30 2003-01-07 Hewlett-Packard Company Method and apparatus for digital watermarking of images
US6314421B1 (en) * 1998-05-12 2001-11-06 David M. Sharnoff Method and apparatus for indexing documents for message filtering
US6074942A (en) * 1998-06-03 2000-06-13 Worldwide Semiconductor Manufacturing Corporation Method for forming a dual damascene contact and interconnect
US6308273B1 (en) * 1998-06-12 2001-10-23 Microsoft Corporation Method and system of security location discrimination
US6161130A (en) * 1998-06-23 2000-12-12 Microsoft Corporation Technique which utilizes a probabilistic classifier to detect "junk" e-mail by automatically updating a training and re-training the classifier based on the updated training set
US6192360B1 (en) * 1998-06-23 2001-02-20 Microsoft Corporation Methods and apparatus for classifying text and for building a text classifier
US6167434A (en) * 1998-07-15 2000-12-26 Pang; Stephen Y. Computer code for removing junk e-mail messages
US6112227A (en) * 1998-08-06 2000-08-29 Heiner; Jeffrey Nelson Filter-in method for reducing junk e-mail
US6434600B2 (en) * 1998-09-15 2002-08-13 Microsoft Corporation Methods and systems for securely delivering electronic mail to hosts having dynamic IP addresses
US6732273B1 (en) * 1998-10-21 2004-05-04 Lucent Technologies Inc. Priority and security coding system for electronic mail messages
GB2343529B (en) * 1998-11-07 2003-06-11 Ibm Filtering incoming e-mail
US6546416B1 (en) * 1998-12-09 2003-04-08 Infoseek Corporation Method and system for selectively blocking delivery of bulk electronic mail
US6643686B1 (en) * 1998-12-18 2003-11-04 At&T Corp. System and method for counteracting message filtering
US6615242B1 (en) * 1998-12-28 2003-09-02 At&T Corp. Automatic uniform resource locator-based message filter
US6266692B1 (en) * 1999-01-04 2001-07-24 International Business Machines Corporation Method for blocking all unwanted e-mail (SPAM) using a header-based password
US6330590B1 (en) * 1999-01-05 2001-12-11 William D. Cotten Preventing delivery of unwanted bulk e-mail
US6424997B1 (en) * 1999-01-27 2002-07-23 International Business Machines Corporation Machine learning based electronic messaging system
US6477551B1 (en) * 1999-02-16 2002-11-05 International Business Machines Corporation Interactive electronic messaging system
US6732149B1 (en) * 1999-04-09 2004-05-04 International Business Machines Corporation System and method for hindering undesired transmission or receipt of electronic messages
US6370526B1 (en) * 1999-05-18 2002-04-09 International Business Machines Corporation Self-adaptive method and system for providing a user-preferred ranking order of object sets
US6592627B1 (en) * 1999-06-10 2003-07-15 International Business Machines Corporation System and method for organizing repositories of semi-structured documents such as email
US6728690B1 (en) * 1999-11-23 2004-04-27 Microsoft Corporation Classification system trainer employing maximum margin back-propagation with probabilistic outputs
US6321267B1 (en) * 1999-11-23 2001-11-20 Escom Corporation Method and apparatus for filtering junk email
US6701440B1 (en) * 2000-01-06 2004-03-02 Networks Associates Technology, Inc. Method and system for protecting a computer using a remote e-mail scanning device
US6633855B1 (en) * 2000-01-06 2003-10-14 International Business Machines Corporation Method, system, and program for filtering content using neural networks
US7072942B1 (en) * 2000-02-04 2006-07-04 Microsoft Corporation Email filtering methods and systems
US6691156B1 (en) * 2000-03-10 2004-02-10 International Business Machines Corporation Method for restricting delivery of unsolicited E-mail
US6684201B1 (en) * 2000-03-31 2004-01-27 Microsoft Corporation Linguistic disambiguation system and method using string-based pattern training to learn to resolve ambiguity sites
US7210099B2 (en) * 2000-06-12 2007-04-24 Softview Llc Resolution independent vector display of internet content
US20040073617A1 (en) * 2000-06-19 2004-04-15 Milliken Walter Clark Hash-based systems and methods for detecting and preventing transmission of unwanted e-mail
CN1300677C (en) * 2000-06-22 2007-02-14 微软公司 Distributed computing services platform
US6779021B1 (en) * 2000-07-28 2004-08-17 International Business Machines Corporation Method and system for predicting and managing undesirable electronic mail
US6842773B1 (en) * 2000-08-24 2005-01-11 Yahoo ! Inc. Processing of textual electronic communication distributed in bulk
US6971023B1 (en) * 2000-10-03 2005-11-29 Mcafee, Inc. Authorizing an additional computer program module for use with a core computer program
US6757830B1 (en) * 2000-10-03 2004-06-29 Networks Associates Technology, Inc. Detecting unwanted properties in received email messages
US7243125B2 (en) * 2000-12-08 2007-07-10 Xerox Corporation Method and apparatus for presenting e-mail threads as semi-connected text by removing redundant material
US6775704B1 (en) * 2000-12-28 2004-08-10 Networks Associates Technology, Inc. System and method for preventing a spoofed remote procedure call denial of service attack in a networked computing environment
US6901398B1 (en) * 2001-02-12 2005-05-31 Microsoft Corporation System and method for constructing and personalizing a universal information classifier
GB2373130B (en) 2001-03-05 2004-09-22 Messagelabs Ltd Method of,and system for,processing email in particular to detect unsolicited bulk email
US6928465B2 (en) * 2001-03-16 2005-08-09 Wells Fargo Bank, N.A. Redundant email address detection and capture system
US6751348B2 (en) * 2001-03-29 2004-06-15 Fotonation Holdings, Llc Automated detection of pornographic images
US7188106B2 (en) * 2001-05-01 2007-03-06 International Business Machines Corporation System and method for aggregating ranking results from various sources to improve the results of web searching
US7103599B2 (en) * 2001-05-15 2006-09-05 Verizon Laboratories Inc. Parsing of nested internet electronic mail documents
US6768991B2 (en) * 2001-05-15 2004-07-27 Networks Associates Technology, Inc. Searching for sequences of character data
US20030009698A1 (en) * 2001-05-30 2003-01-09 Cascadezone, Inc. Spam avenger
US7502829B2 (en) * 2001-06-21 2009-03-10 Cybersoft, Inc. Apparatus, methods and articles of manufacture for intercepting, examining and controlling code, data and files and their transfer
US7328250B2 (en) * 2001-06-29 2008-02-05 Nokia, Inc. Apparatus and method for handling electronic mail
TW533380B (en) * 2001-07-23 2003-05-21 Ulead Systems Inc Group image detecting method
US6769016B2 (en) * 2001-07-26 2004-07-27 Networks Associates Technology, Inc. Intelligent SPAM detection system using an updateable neural analysis engine
JP2003067304A (en) * 2001-08-27 2003-03-07 Kddi Corp Electronic mail filtering system, electronic mail filtering method, electronic mail filtering program and recording medium recording it
JP2003085079A (en) * 2001-09-12 2003-03-20 Xaxon R & D Corp Content filtering device in computer network, delivery method of filter pattern file, storage medium and program
US20060036701A1 (en) * 2001-11-20 2006-02-16 Bulfer Andrew F Messaging system having message filtering and access control
CN1350246A (en) * 2001-12-03 2002-05-22 上海交通大学 Intelligent e-mail content filtering method
CN1350247A (en) * 2001-12-03 2002-05-22 上海交通大学 E-mail content monitoring system
US20030204569A1 (en) * 2002-04-29 2003-10-30 Michael R. Andrews Method and apparatus for filtering e-mail infected with a previously unidentified computer virus
US7522910B2 (en) * 2002-05-31 2009-04-21 Oracle International Corporation Method and apparatus for controlling data provided to a mobile device
US20030229672A1 (en) * 2002-06-05 2003-12-11 Kohn Daniel Mark Enforceable spam identification and reduction system, and method thereof
US8046832B2 (en) * 2002-06-26 2011-10-25 Microsoft Corporation Spam detector with challenges
US20040003282A1 (en) * 2002-06-28 2004-01-01 Smith Alrick Lockhart Method of storing data
US8924484B2 (en) * 2002-07-16 2014-12-30 Sonicwall, Inc. Active e-mail filter with challenge-response
US20040019651A1 (en) * 2002-07-29 2004-01-29 Andaker Kristian L. M. Categorizing electronic messages based on collaborative feedback
US7363490B2 (en) * 2002-09-12 2008-04-22 International Business Machines Corporation Method and system for selective email acceptance via encoded email identifiers
US20040083270A1 (en) * 2002-10-23 2004-04-29 David Heckerman Method and system for identifying junk e-mail
US7149801B2 (en) * 2002-11-08 2006-12-12 Microsoft Corporation Memory bound functions for spam deterrence and the like
US6732157B1 (en) * 2002-12-13 2004-05-04 Networks Associates Technology, Inc. Comprehensive anti-spam system, method, and computer program product for filtering unwanted e-mail messages
US20060265498A1 (en) 2002-12-26 2006-11-23 Yehuda Turgeman Detection and prevention of spam
US7533148B2 (en) * 2003-01-09 2009-05-12 Microsoft Corporation Framework to enable integration of anti-spam technologies
US7171450B2 (en) * 2003-01-09 2007-01-30 Microsoft Corporation Framework to enable integration of anti-spam technologies
US7219131B2 (en) * 2003-01-16 2007-05-15 Ironport Systems, Inc. Electronic message delivery using an alternate source approach
US7249162B2 (en) * 2003-02-25 2007-07-24 Microsoft Corporation Adaptive junk message filtering system
US20040177120A1 (en) * 2003-03-07 2004-09-09 Kirsch Steven T. Method for filtering e-mail messages
US20050015455A1 (en) * 2003-07-18 2005-01-20 Liu Gary G. SPAM processing system and methods including shared information among plural SPAM filters

Also Published As

Publication number Publication date
MXPA05008205A (en) 2005-09-30
US7640313B2 (en) 2009-12-29
ZA200505907B (en) 2007-03-28
RU2327205C2 (en) 2008-06-20
KR20060006767A (en) 2006-01-19
HK1085286A1 (en) 2006-08-18
BR0318024A (en) 2005-12-06
EP1597645B1 (en) 2010-04-14
EP1597645A4 (en) 2009-03-18
AU2003300051A1 (en) 2004-09-28
IL169885A (en) 2010-11-30
CN100437544C (en) 2008-11-26
JP4524192B2 (en) 2010-08-11
US20040167964A1 (en) 2004-08-26
ATE464722T1 (en) 2010-04-15
NO20053915D0 (en) 2005-08-22
AU2003300051B2 (en) 2009-02-19
TW200423643A (en) 2004-11-01
WO2004079501A3 (en) 2005-10-06
RU2005126821A (en) 2006-01-20
TWI393391B (en) 2013-04-11
IL169885A0 (en) 2007-07-04
JP2006514371A (en) 2006-04-27
EP1597645A2 (en) 2005-11-23
CN1742266A (en) 2006-03-01
WO2004079501A2 (en) 2004-09-16
US20080010353A1 (en) 2008-01-10
NZ541391A (en) 2008-08-29
DE60332168D1 (en) 2010-05-27
US7249162B2 (en) 2007-07-24
NO20053915L (en) 2005-09-22
KR101076908B1 (en) 2011-10-25
CA2512821C (en) 2012-12-18

Similar Documents

Publication Publication Date Title
CA2512821A1 (en) Adaptive junk message filtering system
US7725475B1 (en) Simplifying lexicon creation in hybrid duplicate detection and inductive classifier systems
US8055078B2 (en) Filter for blocking image-based spam
US8032602B2 (en) Prioritization of recipient email messages
US7930351B2 (en) Identifying undesired email messages having attachments
US7664812B2 (en) Phonetic filtering of undesired email messages
US7836135B2 (en) Method and apparatus for filtering email
US7624151B2 (en) Smart size reduction of a local electronic mailbox by removing unimportant messages based on an automatically generated user interest profile
JP4824352B2 (en) Method and system for detecting when outgoing communication includes specific content
US20060149820A1 (en) Detecting spam e-mail using similarity calculations
US20130173563A1 (en) Reliability of duplicate document detection algorithms
US9537970B2 (en) Publisher-based message data caching in a publish-subscription environment
EP1197880A3 (en) Method and apparatus using discriminative training in natural language call routing and document retrieval
EP1745424A1 (en) Method and apparatus to use a genetic algorithm to generate an improved statistical model
Rathod et al. A comparative performance evaluation of content based spam and malicious URL detection in E-mail
WO2013149290A1 (en) An electronic message management system
US9667737B2 (en) Publisher-assisted, broker-based caching in a publish-subscription environment
CN101789105B (en) Packet-level dynamic mail attachment virus detection method
CN106095747A (en) The recognition methods of a kind of refuse messages and system
US7058688B2 (en) Multi-stage email interception method
US20120215858A1 (en) Caching potentially repetitive message data in a publish-subscription environment
KR101291076B1 (en) Method and apparatus for determining spam document
CN103095885B (en) A kind of mobile terminal and email address management method thereof
JP4686724B2 (en) E-mail system with spam filter function
Manek et al. ReP-ETD: A Repetitive Preprocessing technique for Embedded Text Detection from images in spam emails

Legal Events

Date Code Title Description
EEER Examination request
MKLA Lapsed

Effective date: 20210831

MKLA Lapsed

Effective date: 20191231