The spam problem is getting worse all the time. In the paper, we propose Anti-Spam Grid, which can collaboratively filter spam messages by forming a virtual organization. We discuss the design of fuzzy CopyRank and distributed Bayesian algorithm, and describe the architecture of Anti-Spam Grid. A detailed analysis shows that the system is reliable, efficient and scalable, and an experiment show...

There are number of Anti-Spam filters that have reduced the amount of email spam in the inbox but the problem still continues as the spammers circumvent these techniques. The problems need to be addressed from different aspects. Major problem for instance arises when these anti-spam techniques misjudge or misclassify legitimate emails as spam (false positive); or fail to deliver or block spam o...

While numerous countries in post-authoritarian South America have annulled Amnesty Laws issued under authoritarian rule and punished officials involved in repressive organs, Brazil continues to favour impunity. This attitude has recently been confirmed by the Brazilian Supreme Court’s decision to maintain the 1979 Amnesty Law granting de-facto impunity to violators of human rights during the mi...

Web spam detection is an important problem in Web search. Since Web spam pages tend to have a lot of spurious links, many Web spam detection algorithms exploit the hyperlink structure between the Web pages to detect the spam pages. Anti-TrustRank algorithm is a well-known link-based spam detection algorithm which follows the principle that spam pages are likely to be referenced by other spam pa...

An efficient anti-spam filter that would block all unsolicited messages i.e. spam, without blocking any legitimate messages is a growing need. To address this problem, this report takes a statistically-based approach, employing a Bayesian anti-spam filter, because it is content-based and self-learning (adaptive) in nature. We train the filter, using a large corpus of legitimate messages and spa...

Behavior-based Email Analysis with Application to Spam Detection

We provide a model to study the effects of three methods of fighting spam mail, namely (1) increasing the cost of mailing messages, (2) filters, and (3) a do-not-spam registry, on the number of spam messages that users receive, and on the efficiency of the internet (measured by the total number of spam messages spammers send).