Survey on Spam Filtering Techniques

• 作者: Saadat Nazirova
• 来源期刊: 通讯与网络(英文)
• 学科: 工学
• 关键词: E-mail SPAM Unsolicited BULK MESSAGES FILTERING TRADITIONAL METHODS Learning-Based METHODS Classification
• 年，卷（期）: 2011,（3）
• 页码范围: 153-160
• 页数: 8页
• 分类号: TP39

摘要

In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. In this paper the overview of existing e-mail spam filtering methods is given. The classification, evaluation, and comparison of traditional and learning-based methods are provided. Some personal anti-spam products are tested and compared. The statement for new approach in spam filtering technique is considered.