Permission and Behavior Based Malware Detection of Android Apps - Gupta, Neha;Ahlawat, Prachi
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This malware detection system detects the malware using static and dynamic features of the android apps. The static feature used for this purpose is permissions and the dynamic feature is the frequency of system calls. The machine learning algorithms are applied on the extracted features and a model is devised which identifies the Android benign applications and the Android malicious applications.

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Produktbeschreibung
This malware detection system detects the malware using static and dynamic features of the android apps. The static feature used for this purpose is permissions and the dynamic feature is the frequency of system calls. The machine learning algorithms are applied on the extracted features and a model is devised which identifies the Android benign applications and the Android malicious applications.
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Autorenporträt
Neha Gupta is doing M. Tech. (Computer Science and Engineering) from The NorthCap University, Gurugram. She received her MCA degree from YMCA Institute of Engineering, Faridabad in 2007.