Anti-spam grid: a dynamically organized spam filtering infrastructure

  • Authors:
  • Peng Liu;Guangliang Chen;Liang Ye;Weiming Zhong

  • Affiliations:
  • Department of Computer Science and Technology, Tsinghua University, Beijing, China and Grid Research Center, PLA University of Science and Technology, Nanjing, China;Grid Research Center, PLA University of Science and Technology, Nanjing, China;Computer Science Department, SuZhou Vocational University, SuZhou, China;Network Center, NanChang University, NanChang, China

  • Venue:
  • SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
  • Year:
  • 2005

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Abstract

The spam problem is getting worse all the time. In the paper, we propose Anti-Spam Grid, which can collaboratively filter spam messages by forming a virtual organization. We discuss the design of fuzzy CopyRank and distributed Bayesian algorithm, and describe the architecture of Anti-Spam Grid. A detailed analysis shows that the system is reliable, efficient and scalable, and an experiment shows that the CopyRank mechanism is sharp at distinguishing spam and non-spam.