NDLI: Personalized Filtering of Polymorphic E-mail Spam

Content Provider	IEEE Xplore Digital Library
Author	Takesue, M.
Copyright Year	2009
Abstract	Which of emails are spams depends on the recipient's interest, so it is desirable to filter spams based on his/her interest. We store the fingerprints (FPs) of k portions of each spam's content in our filter and examine the metrics for detecting the polymorphic spams devised with intent to thwart the detection. For a smaller size of the filter, we exploit two Bloom filters (in fact, merged into a single one to reduce cache miss) to replace the least recently matched spams by recently matched ones. We use as the metrics the number $N_t (≤ k)$ of FPs in the filter matching with those of an incoming email, but also of the $N_T$ FPs, the greatest number $N_d$ of FPs stored for a single spam. We plot spams and legitimate emails in the $N_d-N_t$ space and detect spams by a piecewise linear function. The experiments with about 4,000 real world emails show that our filter achieves the false negative rate of about 0.36 with no false positive.
Starting Page	249
Ending Page	254
File Size	230685
Page Count	6
File Format	PDF
ISBN	9780769536682
DOI	10.1109/SECURWARE.2009.45
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-18
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Piecewise linear techniques polymorphous spam Unsolicited electronic mail Fingerprint recognition Bloom filter Electronic mail Information filtering filtering metric Matched filters piecewise linear function Information security fingerprint Information filters Personalized filter Computer networks Informatics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

"May I borrow your filter?" Exchanging filters to combat spam in a community

A study on e-mail image spam filtering techniques

A spam filtering technique based on feature fingerprint

Detecting and filtering instant messaging spam - a global and personalized approach

An Intelligent SPAM filter - GetEmail5

Collaborative Spam Filtering Using E-Mail Networks

Improved Bayesian Anti-Spam Filter Implementation and Analysis on Independent Spam Corpuses

An e-mail client implementation with spam filtering and security mechanisms

A Personalized Spam Filtering Approach Utilizing Two Separately Trained Filters

Personalized Filtering of Polymorphic E-mail Spam

Similar Documents

"May I borrow your filter?" Exchanging filters to combat spam in a community

A study on e-mail image spam filtering techniques

A spam filtering technique based on feature fingerprint

Detecting and filtering instant messaging spam - a global and personalized approach

An Intelligent SPAM filter - GetEmail5

Collaborative Spam Filtering Using E-Mail Networks

Improved Bayesian Anti-Spam Filter Implementation and Analysis on Independent Spam Corpuses

An e-mail client implementation with spam filtering and security mechanisms

A Personalized Spam Filtering Approach Utilizing Two Separately Trained Filters

Personalized Filtering of Polymorphic E-mail Spam