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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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.
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.
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Taschenbuch. Zustand: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Artikel-Nr. 9783330322639
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Taschenbuch. Zustand: Neu. Permission and Behavior Based Malware Detection of Android Apps | Neha Gupta (u. a.) | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330322639 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Artikel-Nr. 109487191
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