Artificial intelligence for greylisting anti-spam

Elektronika ir Elektrotechnika

Volumn , Issue 5, 2008, Pages 49-52

  Puniskis D ^a   Laurutis, R ^b  

^a KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

^b JSC Information Avenue ^*  (Lithuania)

Author keywords

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Indexed keywords

EID: 80054729693     PISSN: 13921215     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. MessageLabs Intelligence. Spam review//Annual security report 2007. - Accessed at: http://www.messagelabs.com, last accessed on February, 2008.
2. Levine R. Experiences with Greylisting//Taughannock Networks. - Trumansburg, New York, 2006.
3. Janecek A., Gansterer W., Kumar K. Multi-level reputation-based greylisting//ARES Barcelona. - 2008.
4. Harris E. The next step in the spam control war: Greylisting. - Accessed at: http://projects.puremagic.com/greylisting/whitepaper.html. - 2003.
5. Drucker H., Shahrary B., Gibbon D. Support vector machines: relevance feedback and information retrieval//Inform. Process. Manag. - 2002. - No.38. - P. 305-323. (Pubitemid 34040556)
6. Puniškis D, Laurutis R, Dirmeikis R. An Artificial Neural Nets for Spam E-mail Recognition//Electronics and Electrical Engineering. - Kaunas: Technologija, 2006. - No. 5(69). - P. 73-76.
7. Laurutis R., Puniškis D. Neural networks for computer virus epidemics recognition.//Electronics and Electrical Engineering. - Kaunas: Technologija, 2005. - No. 4(60). - P. 28-32.
8. Rafiqul I, Wanley Z. An Innovative Analyser for Email Classification Based on Grey List Analysis//IFIP International conference on Network and Parallel computing, Dalian, 2007.