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Bayesian Approach Based Comment Spam Defending Tool

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Advances in Information Security and Assurance (ISA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5576))

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Abstract

Spam messes up user’s inbox, consumes network resources and spread worms and viruses. Spam is flooding of unsolicited,unwanted e mail.Spam in blogs is called blog spam or comment spam.It is done by posting comments or flooding spams to the services such as blogs, forums,news,email archives and guestbooks. Blog spams generally appears on guestbooks or comment pages where spammers fill a comment box with spam words. In addition to wasting user’s time with unwanted comments, spam also consumes a lot of bandwith. In this paper,we propose a software tool to prevent such blog spams by using Bayesian Algorithm based technique. It is derived from Bayes’ Theorem.It gives an output which has a probability that any comment is spam, given that it has certain words in it. With using our past entries and a comment entry , this value is obtained and compared with a threshold value to find if it exceeds the threshold value or not. By using this cocept, we developed a software tool to block comment spam. The experimetal results shows that the bayesian based tool is working well. This paper has the major findings and their significance of blog spam filter.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Hannam University, Daejeon, South Korea

    Beatrice Cynthia Dhinakaran & Jae-Kwang Lee

  2. Wireilla Net Solutions, Chennai, India

    Dhinaharan Nagamalai

Authors
  1. Beatrice Cynthia Dhinakaran
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  2. Dhinaharan Nagamalai
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  3. Jae-Kwang Lee
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Editor information

Editors and Affiliations

  1. Computer Engineering Department, Kyungnam University, 449, Wolyong-dong, 631-701, Kyungnam, Masan, Korea

    Jong Hyuk Park

  2. Institute of Communications Engineering, National Sun Yat-Sen University, Kaohsiung City, Taiwan

    Hsiao-Hwa Chen

  3. School of Computer Science,, University of Oklahoma, 200 Felgar Street, 73019, P.O. Box, Norman, OK, USA

    Mohammed Atiquzzaman

  4. School of Computer Engineering, Hanshin University, Kyeong-Gi, Osan, Korea

    Changhoon Lee

  5. Division of Multimedia, Hannam University, Daejeon, Korea

    Tai-hoon Kim

  6. Division of Computer Engineering, Mokwon University, Daejeon, Korea

    Sang-Soo Yeo

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© 2009 Springer-Verlag Berlin Heidelberg

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Dhinakaran, B.C., Nagamalai, D., Lee, JK. (2009). Bayesian Approach Based Comment Spam Defending Tool. In: Park, J.H., Chen, HH., Atiquzzaman, M., Lee, C., Kim, Th., Yeo, SS. (eds) Advances in Information Security and Assurance. ISA 2009. Lecture Notes in Computer Science, vol 5576. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02617-1_59

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  • DOI: https://doi.org/10.1007/978-3-642-02617-1_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02616-4

  • Online ISBN: 978-3-642-02617-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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