Two Phase Static Analysis Technique for Android Malware Detection
作者： Priyadarshani M. Kate , Sunita V. Dhavale
关键词: Android malware 、 Feature set 、 Naive Bayes classifier 、 Bloom filter 、 Computer science 、 Data mining 、 Static analysis 、 Permission 、 Android (operating system) 、 Computer security 、 Malware
摘要: … Whereas, BFB is initialized with permission features of … .smali files which are equivalent to corresponding java .class files [12]. The code based features are extracted by mining .smali file …
acm.org
sci-hub.se 参考文章(5)
Suleiman Y. Yerima, Gavin McWilliams, Sakir Sezer, Analysis of Bayesian classification-based approaches for Android malware detection Iet Information Security. ,vol. 8, pp. 25- 36 ,(2014) , 10.1049/IET-IFS.2013.0095
Andrei Broder, Michael Mitzenmacher, Network Applications of Bloom Filters: A Survey Internet Mathematics. ,vol. 1, pp. 485- 509 ,(2004) , 10.1080/15427951.2004.10129096
Eric Filiol, Grégoire Jacob, Mickaël Le Liard, Evaluation methodology and theoretical model for antiviral behavioural detection strategies Journal in Computer Virology. ,vol. 3, pp. 23- 37 ,(2007) , 10.1007/S11416-006-0026-9
Sang Kil Cha, Iulian Moraru, Jiyong Jang, John Truelove, David Brumley, David G. Andersen, SplitScreen: Enabling efficient, distributed malware detection Journal of Communications and Networks. ,vol. 13, pp. 187- 200 ,(2011) , 10.1109/JCN.2011.6157418
Yajin Zhou, Xuxian Jiang, Dissecting Android Malware: Characterization and Evolution ieee symposium on security and privacy. pp. 95- 109 ,(2012) , 10.1109/SP.2012.16