Addressing Interest Diversity in P2P Based Collaborative Spam Filtering

摘要：

Collaborative information filtering tends to be a promising technology in the fight again Internet spam,and the Peer-to-Peer framework is believed to be more suitable to implement this collaboration compared to centralized ones. However, the assumption of uniform information interests across peers in collaborative filtering limits the improvement in filtering accuracy and increases network traffic unnecessarily. To address this problem, we propose to construct multiple interest groups for a peer, each corresponding to one message category; and to use a percolation search algorithm to retrieve message feedbacks in scale-free email networks. Experiments show the proposed model can get remarkable improvement in false positive reduction and good performance in spam feedback retrieval.

作者: Fang Weidong Dong Shoubin

作者单位: Network Engineering and Research Center, South China University of Technology, 510640,Guangzhou, China

会议类型: 国际会议

会议名称: 第五届网格与协同计算国际会议(The Fifth International Conference on Grid and Cooperative Computing GCC 2006)

会议地点: 长沙

会议语种:英文

页码: 163-169

在线出版日期: 2006-10-21（万方平台首次上网日期，不代表论文的发表时间）