A spam filtering technique based on feature fingerprint

Spam is unsolicited bulk email. Most of the popular spam filters work depending on individual training corpus or discrete feature extraction, and these filters haven´t considered spam´s bulk feature. The better method to stop spam may be the collaborative approach that does not only consider the content of the email but depends on the collaboration of groups of users who share information about spam. Therefore, this paper proposes a spam filtering technique based on feature fingerprint in multi-recipient collaboration.