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Social tagging systems allow collaborative users to annotate shared resources with tags. Since they rely on user contributed content, social tagging systems are vulnerable to spam annotations, which are generated by malicious users to mislead or confuse legitimate users. Thus, mechanisms for spam detection need to be developed to combat the flexible strategies of spammers for the success of social...
As more and more spam emails are continually increasing exponentially, both the Internet service providers (ISP) and the end users are suffering. Spam filtering is a classic puzzle in the field of network security. In this paper, we present a novel anti-spam technique standing at a unique point of view, which includes novel users' feedback mechanism, user-oriented classifier based on improved naive...
Tremendous increases in spam traffic have made an imperative to develop effective techniques that can filter Internet spam traffic for using in network operation and security management. In this paper, we propose a more effective scheme called improved bulk mail traffic classification (IBMTC) for filtering spam from bulk delivery E-mails traffic. Based on our earlier designed scheme, we further address...
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