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Volumn 2, Issue , 2006, Pages 318-323

Current and new developments in spam filtering

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FILTRATION; INTERNET; LEARNING SYSTEMS; ROBOT LEARNING; SPAMMING; WAVE FILTERS; WEIGHT CONTROL;

EID: 46449091853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICON.2006.302641     Document Type: Conference Paper
Times cited : (17)

References (38)
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    • G. Cormack and T. Lynam. A study of supervised spam detection applied to eight months of personal e-mail. http://plg.uwaterloo.ca/~gvcormac/spamcormack. html, July 1 2004.
  • 10
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    • P2P-based collaborative spam detection and filtering. In P2P '04: Proceedings of the Fourth International Conference on Peer-to-Peer Computing (P2P'04)
    • E. Damiani, S. De Capitani di Vimercati, S. Paraboschi, and P. Samarati. P2P-based collaborative spam detection and filtering. In P2P '04: Proceedings of the Fourth International Conference on Peer-to-Peer Computing (P2P'04), pages 176-183. IEEE Computer Society, 2004.
    • (2004) IEEE Computer Society , pp. 176-183
    • Damiani, E.1    De Capitani di Vimercati, S.2    Paraboschi, S.3    Samarati, P.4
  • 13
    • 14944360448 scopus 로고    scopus 로고
    • L.H. Gomes, C. Cazita, J. Almeida, V. Almeida, and Jr. W. Meira. Characterizing a spam traffic. In IMC '04: Proceedings of the 4th ACM SIGCOMM conference on Internet measurement, pages 356-369. ACM Press, 2004.
    • L.H. Gomes, C. Cazita, J. Almeida, V. Almeida, and Jr. W. Meira. Characterizing a spam traffic. In IMC '04: Proceedings of the 4th ACM SIGCOMM conference on Internet measurement, pages 356-369. ACM Press, 2004.
  • 14
    • 0043156433 scopus 로고    scopus 로고
    • S. Vaughan-Nichols. Saving private e-mail. Spectrum, IEEE, pages 40-44, Aug 2003.
    • S. Vaughan-Nichols. Saving private e-mail. Spectrum, IEEE, pages 40-44, Aug 2003.
  • 15
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    • Sparse binary polynomial hashing and the crml 14 discriminator
    • W. Yerazunis. Sparse binary polynomial hashing and the crml 14 discriminator. In MIT Spam Conference, 2003.
    • (2003) MIT Spam Conference
    • Yerazunis, W.1
  • 16
    • 35048865513 scopus 로고    scopus 로고
    • Combining winnow and orthogonal sparse bigrams for incremental spam filtering
    • Proceedings of ECML/PKDD, Springer Verlag
    • C. Siefkes, F. Assis, S. Chhabra, and W. Yerazunis. Combining winnow and orthogonal sparse bigrams for incremental spam filtering. In Proceedings of ECML/PKDD 2004, LNCS. Springer Verlag, 2004.
    • (2004) LNCS
    • Siefkes, C.1    Assis, F.2    Chhabra, S.3    Yerazunis, W.4
  • 18
    • 84943389252 scopus 로고    scopus 로고
    • Identifying junk electronic email in Microsoft outlook with a support vector machine
    • 27-31 Jan
    • M. Woitaszek, M. Shaaban, and R. Czernikowski. Identifying junk electronic email in Microsoft outlook with a support vector machine. Symposium on Applications and the Internet, 2003, pages 166-169, 27-31 Jan. 2003.
    • (2003) Symposium on Applications and the Internet , pp. 166-169
    • Woitaszek, M.1    Shaaban, M.2    Czernikowski, R.3
  • 19
    • 27944471105 scopus 로고    scopus 로고
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    • G. Rios and H. Zha. Exploring support vector machines and random forests for spam detection. In Conference on Email and Anti-Spam, 2004.
    • (2004) Conference on Email and Anti-Spam
    • Rios, G.1    Zha, H.2
  • 21
    • 33751119999 scopus 로고    scopus 로고
    • Just 150 'spammers' blamed for e-mail woe
    • 1 December
    • M. Ludlow. Just 150 'spammers' blamed for e-mail woe. The Sunday Times, 1 December 2002.
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    • Ludlow, M.1
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    • Chung-kwei: A pattern-discovery-based system for the automatic identification of unsolicited e-mail messages (spam)
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    • (2004) Conference on Email and Anti-Spam
    • Rigoutsos, I.1    Huynh, T.2
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    • An analysis of the tools used for the generation and prevention of spam
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    • (2004) Computers and Security , vol.23 , Issue.2 , pp. 154-166
    • Hunt, R.1    Cournane, A.2
  • 35
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    • Personal email networks: An effective anti-spam tool
    • Jan
    • P.O. Boykin and V. Roychowdhury. Personal email networks: An effective anti-spam tool. MIT Spam Conference, Jan 2005.
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    • W. S. Yerazunis. The Spam-Filtering Accuracy Plateau at 99.9% accuracy and how to get past it. Mitsubishi Electric Research Laboratories, www.alphaworks.ibm.com/tech/fairuce, Dec 2004
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.