The usefulness ofemail has been tempered by its role in the widespread distribution ofspam and malicious content. Security solutions have .focused on filtering out malicious payloads and weblinksfrom email; the potential dangers of email go past these boundaries: harmless-looking emails can carry dangerous, hidden botnet content. In this paper, we evaluate the suitability ofemail communicationf...

We propose a new spam detection algorithm that uses structural relationships between senders and recipients of email as the basis for spam detection. A unifying representation of users and receivers in the vectorial space of their contacts is constructed, that leads to a natural definition of similarity between them. This similarity is then used to group email senders and recipients into cluste...

A promising anti-spam technique consists in collecting users opinions that given email messages are spam and using this collective judgment to block message propagation to other users. To be effective, this strategy requires a way to identify similarity among email messages, even if the program used by the spammer to generate the messages may try to obfuscate their common origin. In this paper,...

In the last year or two, unwelcome email has grown to the extent that it is inconvenient, annoying and wasteful of computer resources. More significantly, its volume threatens to overwhelm our ability to recognize welcome messages, and hence to destroy our trust in email as a reliable communication medium. An automatic spam filter can mitigate these problems, provided that it acts in a reliable...

The popularity of Twitter greatly depends on the quality and integrity of contents contributed by users. Unfortunately, Twitter has attracted spammers to post spam content which pollutes the community. Social spamming is more successful than traditional methods such as email spamming by using social relationship between users. Detecting spam is the first and very critical step in the battle of ...