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
Link To Document :
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