WO2003032107A3 - Method and system for monitoring e-mail - Google Patents

Method and system for monitoring e-mail Download PDF

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Publication number
WO2003032107A3
WO2003032107A3 PCT/KR2002/001882 KR0201882W WO03032107A3 WO 2003032107 A3 WO2003032107 A3 WO 2003032107A3 KR 0201882 W KR0201882 W KR 0201882W WO 03032107 A3 WO03032107 A3 WO 03032107A3
Authority
WO
WIPO (PCT)
Prior art keywords
mail
documents
learning
svm algorithm
group
Prior art date
Application number
PCT/KR2002/001882
Other languages
French (fr)
Other versions
WO2003032107A2 (en
Inventor
Bog-Ju Lee
Soon-Kyu Choi
Original Assignee
Ecabin Inc
Bog-Ju Lee
Soon-Kyu Choi
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 Ecabin Inc, Bog-Ju Lee, Soon-Kyu Choi filed Critical Ecabin Inc
Priority to AU2002362631A priority Critical patent/AU2002362631A1/en
Publication of WO2003032107A2 publication Critical patent/WO2003032107A2/en
Publication of WO2003032107A3 publication Critical patent/WO2003032107A3/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/21Monitoring or handling of messages
    • H04L51/212Monitoring or handling of messages using filtering or selective blocking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55Detecting local intrusion or implementing counter-measures
    • G06F21/552Detecting local intrusion or implementing counter-measures involving long-term monitoring or reporting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/10Machine learning using kernel methods, e.g. support vector machines [SVM]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/109Time management, e.g. calendars, reminders, meetings or time accounting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/21Monitoring or handling of messages
    • H04L51/214Monitoring or handling of messages using selective forwarding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/06Message adaptation to terminal or network requirements
    • H04L51/066Format adaptation, e.g. format conversion or compression

Abstract

The e-mail monitoring method comprises the steps of classifying documents of the group into confidential documents or general documents; converting the document into a form applicable to a SVM algorithm; calculating a Hyper-Plane and a Support Vector by learning the documents with the SVM algorithm; sniffing the e-mail sent out from the group; converting the sniffed e-mail into the form applicable to the SVM algorithm; and applying the SVM algorithm to both the Support Vector calculated from a result by learning and the e-mail converted to a vector type and discriminating if the sniffed e-mail includes the confidential documents. Thereby, the present invention can provide the e-mail monitoring method and system which can monitor efficiently if the confidential documents of a group are sent out through e-mails by learning the concept of confidential documents and general documents automatically and then, classifying an e-mail on the basis of learning results.
PCT/KR2002/001882 2001-10-12 2002-10-09 Method and system for monitoring e-mail WO2003032107A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2002362631A AU2002362631A1 (en) 2001-10-12 2002-10-09 Method and system for monitoring e-mail

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR2001/63063 2001-10-12
KR10-2001-0063063A KR100483602B1 (en) 2001-10-12 2001-10-12 Method and system for monitoring e-mail

Publications (2)

Publication Number Publication Date
WO2003032107A2 WO2003032107A2 (en) 2003-04-17
WO2003032107A3 true WO2003032107A3 (en) 2003-12-18

Family

ID=19715077

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2002/001882 WO2003032107A2 (en) 2001-10-12 2002-10-09 Method and system for monitoring e-mail

Country Status (3)

Country Link
KR (1) KR100483602B1 (en)
AU (1) AU2002362631A1 (en)
WO (1) WO2003032107A2 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7594277B2 (en) 2004-06-30 2009-09-22 Microsoft Corporation Method and system for detecting when an outgoing communication contains certain content
JP4405503B2 (en) * 2006-12-28 2010-01-27 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
US11675926B2 (en) 2018-12-31 2023-06-13 Dathena Science Pte Ltd Systems and methods for subset selection and optimization for balanced sampled dataset generation
KR102526530B1 (en) 2022-07-27 2023-04-27 주식회사 디프스팩 blocking method for Web mail and system thereof

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000072257A2 (en) * 1999-05-25 2000-11-30 Barnhill Stephen D Enhancing knowledge discovery from multiple data sets using multiple support vector machines
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
JP2000354115A (en) * 1999-06-14 2000-12-19 Matsushita Electric Ind Co Ltd Telephone set with electronic mail function
US6192360B1 (en) * 1998-06-23 2001-02-20 Microsoft Corporation Methods and apparatus for classifying text and for building a text classifier
US6266664B1 (en) * 1997-10-01 2001-07-24 Rulespace, Inc. Method for scanning, analyzing and rating digital information content

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6266664B1 (en) * 1997-10-01 2001-07-24 Rulespace, Inc. Method for scanning, analyzing and rating digital information content
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
WO2000072257A2 (en) * 1999-05-25 2000-11-30 Barnhill Stephen D Enhancing knowledge discovery from multiple data sets using multiple support vector machines
JP2000354115A (en) * 1999-06-14 2000-12-19 Matsushita Electric Ind Co Ltd Telephone set with electronic mail function

Also Published As

Publication number Publication date
KR20030030720A (en) 2003-04-18
WO2003032107A2 (en) 2003-04-17
AU2002362631A1 (en) 2003-04-22
KR100483602B1 (en) 2005-04-15

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