An Intelligent Multi-Agent Based Detection Framework for Classification of Android Malware-Reference-Cited by-同舟云学术

An Intelligent Multi-Agent Based Detection Framework for Classification of Android Malware

Published:2014 Issue: Volume: Page:226-237
ISSN:0302-9743
Container-title:Active Media Technology
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Author:

Alam Mohammed,Vuong Son Thanh

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-09912-5_19

Reference20 articles.

1. Poeplau, S., Fratantonio, Y., Bianchi, A., Kruegel, C., Vigna, G.: Excute This! Analyzing Unsafe and Malicious Dynamic Code Loading in Android Applications. In: NDSS (2014)

2. TrustGo Security, New Virus SMSZombie.A Discovered by TrustGO Security Labs, http://blog.trustgo.com/SMSZombie/

3. Xiang, C., Binxing, F., Lihua, Y., Xiaoyi, L., Tianning, Z.: Andbot:towards advanced mobile botnets. In: Proceedings of the 4th USENIX Conference on Large-scale Exploits and Emergent Threats (LEET 2011). USENIX Association, Berkeley (2011)

4. Zhou, Y., Jiang, X.: Dissecting Android Malware: Characterization and Evolution. In: Proceedings of 2012 IEEE Symposium on Security and Privacy (2012)

5. Alam, M., Vuong, S.: Random Forest Classification for Android Malware. In: Proceedings of IEEE International Conference on Internet of Things (2013)

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