MFF-AMD: Multivariate Feature Fusion for Android Malware Detection

Author:

Xu GuangquanORCID,Feng Meiqi,Jiao Litao,Liu Jian,Dai Hong-Ning,Wang Ding,Panaousis Emmanouil,Zheng XiORCID

Publisher

Springer International Publishing

Reference22 articles.

1. SophosLabs 2018 Malware Forecast. https://www.sophos.com/de-de/medialibrary/PDFs/technical-papers/malware-forecast-2018.ashx. Accessed 20 Mar 2019

2. Symantec 2018 Internet Security Threat Report. https://symantec.com/security-center/threat-report. Accessed 2 Mar 2019

3. Core Security. http://blogs.360.cn/post/review_android_malware_of_2018.html. Accessed 20 Mar 2019

4. AV-TEST Antivirus for Android. https://www.av-test.org/en/news/test-20-protection-apps-for-android/. Accessed 26 Sept 2019

5. Wu, D.-J., Mao, C.-H., Wei, T.-E., Lee, H.-M., Wu, K.-P.: DroidMat: Android malware detection through manifest and API calls tracing. In: 2012 Seventh Asia Joint Conference on Information Security, pp 62–69, Tokyo. https://doi.org/10.1109/asiajcis.2012.18

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