A Trust Ranking Method to Prevent IM Spam

Jun BI 

Publication
IEICE TRANSACTIONS on Information and Systems  Vol.E92-D  No.5  pp.937-944
Publication Date: 2009/05/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Information and Communication System Security)
Category: Internet Security
Keyword: 
IM SPAMSPIM preventiontrust rankingthreat model

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Summary: 
The problem of IM (Instant Messaging) SPAM, also known as SPIM, has become a challenge in recent years. The current anti-SPAM methods are not quite suitable for SPIM because of the differences in system infrastructures and characteristics between IM and email service. In order to effectively eliminate SPIM, we propose a trust ranking method in this paper. The mechanism to build up reputation network, global reputation and local trust ranking algorithms, reputation management, and SPIM filtering methods are presented. The experiments under five treat modes and algorithms enhancement are also introduced. The experiment shows that the proposed method is resilient to deal with SPIM attacks under several threat models.