Download Android Malware by Xuxian Jiang, Yajin Zhou (auth.) PDF

By Xuxian Jiang, Yajin Zhou (auth.)

Mobile units, equivalent to clever telephones, have accomplished computing and networking features akin to conventional own desktops. Their profitable consumerization has additionally turn into a resource of discomfort for adopting clients and agencies. particularly, the frequent presence of information-stealing functions and different kinds of cellular malware increases great safeguard and privateness matters.

Android Malware provides a scientific view on cutting-edge cellular malware that pursuits the preferred Android cellular platform. overlaying key issues just like the Android malware heritage, malware habit and class, in addition to, attainable security techniques.

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41. R. Beresford, A. Rice, N. Skehin, R. Sohan, MockDroid: Trading privacy for application functionality on smartphones. in Proceedings of the 12th International Workshop on Mobile Computing System and Applications, 2011. 42. S. Bugiel, L. Davi, A. Dmitrienko, T. -R. Sadeghi, B. Shastry, Towards taming privilege-escalation attacks on android. in Proceedings of the 19th Annual Symposium on Network and Distributed System, Security, 2012. 43. E. P. Felt, K. Greenwood, D. Wagner, Analyzing inter-application communication in android.

As an example, the book (Chap. 7) describes an automatic way to discover trigger behavior in traditional botnets, which can be readily applied to detect Android botnets. Most recently, a new book [74] from Yin et al. proposes an emulator-based system for automatic malware analysis. A similar system can be built for Android malware as well. ’s book [64] explores the usage of data mining techniques for malware detection. They could lead to interesting solutions for mitigating and detecting Android malware, especially due to the large number of Android apps available for analysis.

After more than one-week in-depth investigation [4], we believe this malware evolves from earlier BaseBridge malware [11]. In the following, we will highlight key techniques employed by AnserverBot. 1 Anti-Analysis Though AnserverBot itself repackages legitimate apps for infection, it is designed to detect whether it has been tampered with or not. Specifically, when it runs, it will check the signature or the integrity of the current (repackaged) app before unfolding its payloads. This mechanism is in place to thwart possible reverse engineering efforts.

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