• DocumentCode
    3579722
  • Title

    Mining Call Spammers from Logs

  • Author

    Zhipeng Liu ; Weihua Duan

  • Author_Institution
    Dept. of Software Eng., Nanjing Univ. of Posts & Commun., Nanjing, China
  • fYear
    2014
  • Firstpage
    142
  • Lastpage
    145
  • Abstract
    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.
  • Keywords
    data mining; graph theory; mobile computing; CLRank algorithm; call log rank; call logs; call spammers mining; mobile network; time-based graph model; Accuracy; Algorithm design and analysis; Classification algorithms; Mathematical model; Mobile communication; Mobile computing; Social network services; CLRank; call spammers; log mining; mobile network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/IIKI.2014.36
  • Filename
    7064016