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《Journal of Wuhan University(Natural Science Edition)》 2015-01
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Android Malware Detection Research and Development

PENG Guojun;LI Jingwen;SUN Runkang;XIAO Yunchang;School of Computer,Wuhan University;Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Eduction,Wuhan University;Law School,Remin University of China;  
In light of deteriorating security situation on the popular Android platform,there is a pressing need to develop effective solutions of Android malware detection.To address this issue,firstly Android malwares were systematically characterized from various aspects,including their installation methods,activation mechanisms as well as the nature of carried malicious payloads.Characterization and evolution of Android malware were the foundation of malware detection.Given the resource-constrained mobile phone environments and Android's special programming paradigm,several analysis techniques for detecting malware have been proposed:permission analysis,static analysis and dynamic analysis.The following malware detection solutions are primarily implemented using two methods:signature-based and heuristic-based.And then,a wide range of Android-based malware detection works were compared to evaluate the effectiveness of techniques for analyzing and identifying mobile malware.Finally,the direction of future studies in this field was presented on the basis of the assessment of the previous researches.
【Fund】: 国家自然科学基金(61202387 61202385 61373168 61103220);; 中国博士后科学基金(2012M510641);; 高等学校博士点专项科研基金(20120141110002);; 湖北省自然科学基金(2011CDB456)资助项目;; 武汉市晨光计划项目(2012710367)
【CateGory Index】: TP393.08
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1 PENG Guojun1,2, SHAO Yuru2, WANG Taige2, ZHAN Xian2, ZHANG Huanguo1,2 1. Key Laboratory of Aerospace Information Security and Trust Computing, Ministry of Education, Wuhan 430072, Hubei, China; 2. School of Computer, Wuhan University, Wuhan 430072, Hubei, China;Research on Android Malware Detection and Interception Based on Behavior Monitoring[J];武汉大学自然科学学报(英文版);2012-05
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