Papers

2003

Evaluation of anti-spam method combining Bayesian filtering and strong challenge and response

Proceedings of the IASTED International Conference on Communication, Network, and Information Security
  • Manabu Iwanaga
  • ,
  • Toshihiro Tabata
  • ,
  • Kouichi Sakurai

First page
214
Last page
219
Language
Publishing type
Research paper (international conference proceedings)

Recently, various schemes against spam are proposed because of rapid increasing of spam. Some schemes are based on sender whitelisting with auto registration, a principle that a recipient reads only messages from senders who are registered by the recipient, and a sender have to perform some procedure to be registered (challenge-response.) In these schemes, some exceptions are required to show error mail to a sender of an original message. However, spammers can abuse this exception to send spam to users. We have proposed improved scheme in [1], combining challenge-response and Bayesian filtering. In this paper, we make tests on our scheme and a scheme using only Bayesian filtering to show efficiency of our scheme.

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J-GLOBAL
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902220956001039
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=2642563644&origin=inward
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ID information
  • ISBN : 0889864020
  • J-Global ID : 201902220956001039
  • SCOPUS ID : 2642563644

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