会议专题

Mining Call Spammers from Logs

  In China,many mobile phone users have become the victim of spam calls and suffered heavy financial loss.Discovering of call spammers can benefit mobile network operators as well as users.In this paper,we propose a time-based graph model and a simple and effective Call Log Rank(CLRank) algorithm with ranking and classification were proposed to find potential call spammers.Experimental results show that our proposed model can find spammers from call logs automatically,dynamically and effectively (with 84.5~91.8%of accuracy) without any manual interventions.

call spammers CLRank mobile network log mining

Zhipeng Liu Weihua Duan

Department of Software Engineering Nanjing University of Posts and Communications Nanjing,China

国际会议

2014International Conference on Identification,Information and Knowledge in The Internet of Things(2014信息与知识物联网国际会议)

北京

英文

142-145

2014-10-17(万方平台首次上网日期,不代表论文的发表时间)