Spam is an unsolicited bulk mail or junk email. Due to increased communication within shorter duration and for longer distance and fastest medium email is considered . In the recent years spam became as a big problem of Internet and electronic communication. So for overcoming these problems some techniques are developed to fight with them. In this paper the overview of existing e-mail spam filtering methods are compared. In this survey paper we focus on the classification, evaluation, and comparison of traditional methods. The methods discussed are Collaborative Spam Filtering Using E-Mail Networks, Support Vector Machines and Spam Filtering withDynamically UpdatedURL Statistics. The methods are compared and performance is evaluated.

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Collaborative Spam Filtering Spam Support Vector Machine