Spam filtering using signed and trust reputation management

Authors:
G. Poonkuzhali;K. Thiagarajan;P. Sudhakar;R. Kishore Kumar;K. Sarukesi
Affiliations:
Department of Computer Science and Engineering, Rajalakshmi Engineering College, Anna University, Chennai, Tamil Nadu, India;Department of Science and Humanities, KCG College of Technology, Anna University, Chennai, Tamil Nadu, India;Vernalissystems Pvt Ltd, Chennai, India;Department of Computer Science and Engineering, Rajalakshmi Engineering College, Anna University, Chennai, Tamil Nadu;Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India
Venue:
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Year:
2011

Citing 3
Cited 0

Security Considerations for Peer-to-Peer Distributed Hash Tables

IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
The Eigentrust algorithm for reputation management in P2P networks

WWW '03 Proceedings of the 12th international conference on World Wide Web
Spam and the Social-Technical Gap

Computer

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the e-mail revolution most of the e-mail messages contain SPAM which clogs up the inbox and is quite obnoxious. Therefore, managing a mailbox has become a big task in the faster e-world. Especially, when the user linked with social networks, user's inbox is occupied with several kinds of SPAM emails which lead to many problems. Deduction of spam mails has become an important issue in e-world. In this paper a mathematical approach based on signed and trust reputation management is developed to restrict the spam e-mails through user's attitude on a particular e-mail and content relevancy of the e-mail. The results obtained by this approach are similar to the results obtained through ID3 classifier.