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