Platform Neutral Sandbox for Analyzing Malware and Resource Hogger Apps
作者： Parvez Faruki , Vijay Kumar , Ammar B. , M. S. Gaur , Vijay Laxmi
DOI: 10.1007/978-3-319-23829-6_43
关键词: Malware 、 Scalability 、 Computer security 、 Resource (Windows) 、 Android malware 、 Sandbox (computer security) 、 Computer science
摘要: In this paper, we propose an automated, scalable, and dynamic analysis framework incorporating static anti anti-analysis techniques to detect the environment aware Android malware Resource Hogger apps. The proposed can automatically trigger malicious execution by sending simulated User-Interface (UI) events Intent broadcasts. Proposed approach is scalable platform invarient for different OS versions.
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sci-hub.se 参考文章(6)
Guillermo Suarez-Tangil, Mauro Conti, Juan E. Tapiador, Pedro Peris-Lopez, Detecting Targeted Smartphone Malware with Behavior-Triggering Stochastic Models european symposium on research in computer security. ,vol. 8712, pp. 183- 201 ,(2014) , 10.1007/978-3-319-11203-9_11
Min Zheng, Patrick P. C. Lee, John C. S. Lui, ADAM: an automatic and extensible platform to stress test android anti-virus systems international conference on detection of intrusions and malware and vulnerability assessment. pp. 82- 101 ,(2012) , 10.1007/978-3-642-37300-8_5
Lok Kwong Yan, Heng Yin, DroidScope: seamlessly reconstructing the OS and Dalvik semantic views for dynamic Android malware analysis usenix security symposium. pp. 29- 29 ,(2012)
Asaf Shabtai, Uri Kanonov, Yuval Elovici, Chanan Glezer, Yael Weiss, Andromaly: a behavioral malware detection framework for android devices intelligent information systems. ,vol. 38, pp. 161- 190 ,(2012) , 10.1007/S10844-010-0148-X
Thomas Bläsing, Leonid Batyuk, Aubrey-Derrick Schmidt, Seyit Ahmet Camtepe, Sahin Albayrak, An Android Application Sandbox system for suspicious software detection international conference on malicious and unwanted software. pp. 55- 62 ,(2010) , 10.1109/MALWARE.2010.5665792
Vaibhav Rastogi, Yan Chen, William Enck, AppsPlayground Proceedings of the third ACM conference on Data and application security and privacy - CODASPY '13. pp. 209- 220 ,(2013) , 10.1145/2435349.2435379