Machine learning aided Android malware classification
作者： Nikola Milosevic , Ali Dehghantanha , Kim-Kwang Raymond Choo
DOI: 10.1016/J.COMPELECENG.2017.02.013
关键词:
摘要: … machine learning aided approaches for static analysis of Android malware. The first approach … Our evaluations of both approaches indicate an F-score of 95.1% and F-measure of 89% …
manchester.ac.uk
core.ac.uk 参考文章(23)
Hiran V. Nath, Babu M. Mehtre, Static Malware Analysis Using Machine Learning Methods International Conference on Security in Computer Networks and Distributed Systems. pp. 440- 450 ,(2014) , 10.1007/978-3-642-54525-2_39
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik, Android malware detection: An eigenspace analysis approach science and information conference. pp. 1236- 1242 ,(2015) , 10.1109/SAI.2015.7237302
William Enck, Patrick McDaniel, Jaeyeon Jung, Byung-Gon Chun, Peter Gilbert, Anmol N. Sheth, Landon P. Cox, TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones operating systems design and implementation. pp. 393- 407 ,(2010) , 10.5555/1924943.1924971
Takamasa Isohara, Keisuke Takemori, Ayumu Kubota, Kernel-based Behavior Analysis for Android Malware Detection computational intelligence and security. pp. 1011- 1015 ,(2011) , 10.1109/CIS.2011.226
L. Nataraj, S. Karthikeyan, G. Jacob, B. S. Manjunath, Malware images: visualization and automatic classification visualization for computer security. pp. 4- ,(2011) , 10.1145/2016904.2016908
Vitor Monte Afonso, Matheus Favero de Amorim, André Ricardo Abed Grégio, Glauco Barroso Junquera, Paulo Lício de Geus, Identifying Android malware using dynamically obtained features Journal of Computer Virology and Hacking Techniques. ,vol. 11, pp. 9- 17 ,(2015) , 10.1007/S11416-014-0226-7
Mohammed S. Alam, Son T. Vuong, Random Forest Classification for Detecting Android Malware 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing. pp. 663- 669 ,(2013) , 10.1109/GREENCOM-ITHINGS-CPSCOM.2013.122
Aubrey-Derrick Schmidt, Jan Hendrik Clausen, Ahmet Camtepe, Sahin Albayrak, Detecting Symbian OS malware through static function call analysis international conference on malicious and unwanted software. pp. 15- 22 ,(2009) , 10.1109/MALWARE.2009.5403024
William Enck, Peter Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick McDaniel, Anmol N. Sheth, TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones ACM Transactions on Computer Systems. ,vol. 32, pp. 5- ,(2014) , 10.1145/2619091
Victor A. Benjamin, Hsinchun Chen, Machine learning for attack vector identification in malicious source code intelligence and security informatics. pp. 21- 23 ,(2013) , 10.1109/ISI.2013.6578779