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

Manabu Iwanaga, Toshihiro Tabata, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Communication, Network, and Information Security
EditorsM.H. Hamza
Pages214-219
Number of pages6
Publication statusPublished - Dec 1 2003
EventProceedings of the IASTED International Conference on Communication, Network, an d Information Security - New York, NY., United States
Duration: Dec 10 2003Dec 12 2003

Other

OtherProceedings of the IASTED International Conference on Communication, Network, an d Information Security
CountryUnited States
CityNew York, NY.
Period12/10/0312/12/03

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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