Spam filtering based on virtual social network

作者：Yang Zhen^*; Fan Kefeng; Lai Yingxu; Duan Lijuan; Li Yujian

来源：International Journal of Digital Content Technology and Its Applications, 2011, 5(11): 343-350.

DOI：10.4156/jdcta.vol5.issue11.43

• Anti-spam systems
• Complementary tools
• Information filtering
• Social connection
• Social Networks
• Spam filtering
• Spammers
• Text classification
• Text Clustering
• Topological properties

Social network can help to judge the trustworthiness of outsiders and was widely used in information filtering. Since the overall topological properties were hard to be obtained, the use of social network based methods was seriously limited. In this work, emails'; social connections were reconstructed based on reference social network and virtual social network, and two new approaches of spam filtering, reference social network based decision (RSND) and virtual social network based decision (VSND) were discussed. These approaches can be used as complementary tools for existing anti-spam systems to more efficiently block organized spammers. The experimental results in real emails corpora indicate that our approaches can offer the better chance for reliable discrimination between spammers and legitimates.

• 出版日期2011
• 单位北京大学