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Spam filtering is a great problem nowadays. The conventional spam filtering techniques still result in high false positives and false negatives. This paper proposes a novel online spam filter based on URLs and maximum entropy model. The filter identifies spam by classifying the e-mails with the pre-trained classifier based on the maximum entropy model and filters the spam online in terms of the characteristics...
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...
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