We present an anti-spam filtering framework that combines text-based and image-based anti-spam filters. First, an incremental learning approach to reducing mismatches between training and test datasets is proposed to resolve the problem of a lack of training data for legitimate emails that contain both text and images. Then, the outputs of text-based and image-based filters are combined with th...

Greylisting temporarily rejects mail from unknown sources on the theory that real mailers will retry while spamware won’t. I outline a taxonomy of greylisters and report some statistics both on anti-spam effectiveness and its effect on non-spam mail.

IBM Research is developing an enterpriseclass anti-spam filter as part of our overall strategy of attacking the Spam problem on multiple fronts. Our anti-spam filter, SpamGuru, mirrors this philosophy by incorporating several different filtering technologies and intelligently combining their output to produce a single spamminess rating. The use of multiple algorithms improves the system’s effec...

Over the last years, unsolicited bulk mail, better known as spam, has become one of the most annoying problems of the Internet. The increase of spam emails uses bandwidth and fills up databases and therefore the global network becomes more crowded and less useful. Even though spam emails do not damage the data in the way that viruses do, they do harm the business intentions. For example, spam e...

Spam mails are unwanted mails sent to large number of users. Spam mails not only consume the network resources, but cause security threats as well. This paper proposes an efficient technique to detect, and to prevent spam mail in the sender side rather than the receiver side. This technique is based on a counter set on the sender server. When a mail is transmitted to the server, the mail server...

Web spam has been recognized as one of the top challenges in the search engine industry [14]. A lot of recent work has addressed the problem of detecting or demoting web spam, including both content spam [16, 12] and link spam [22, 13]. However, any time an anti-spam technique is developed, spammers will design new spamming techniques to confuse search engine ranking methods and spam detection ...

in fields as diverse as machine learning, cryptography, natural language processing, systems, security, and human computer-interaction, have been published about spam and e-mail. The Conference on E-mail and Anti-Spam was the first to bring together researchers from these varied fields to a single academic conference where they could exchange ideas and compare techniques. Many topics were cover...