See, stats, and : https : / / www . researchgate . net / publication / 307601320 2014 Data CITATIONS 0 READS 11 4 , including : Some : Wireless Xiaojiang Temple 215 , 309 SEE All . The . Abstract—The growing popularity of Android - based smart - phones have led to the rise of Android based malware . In partic - ular , profit - motivated malware is becoming increasingly popular in Android malware distribution . These malware typically profit by sending premium - rate SMS messages and / or make premium - rate phone calls from infected devices without user consent . In this paper , we investigate the telephony framework of the Android operating system and propose a novel process user - identification (UID) based online detection scheme . Our scheme can effectively detect premium - rate and background SMS messages as well as premium - rate phone calls initiated by malware . We implemented our detection system on a Samsung Google Nexus 4 running Android Jelly Bean and tested the effectiveness of detecting real malware from Android markets . The experimental results show that our scheme is efficient and effective in detecting background messages and premium - rate messages and phone calls . Our scheme can detect and block all the background and premium - rate SMS messages and phone calls initiated by popular malware .
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