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Android Malware Analysis

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 3)

Publication Date:

Authors : ; ; ;

Page : 64-68

Keywords : Malware; Android Malware Detection; Machine learning based malware detection systems; Deep Learning Methods; Signature based; Obfuscation techniques;

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In the present time, malware is one of the greatest security risks to the Internet. Malware is any pernicious software with the aim to perform malignant exercises on a focused on framework. With Android terminal into the life of individuals, the spread of Android malware genuinely influenced individuals' life. Because of the Android security defects, aggressors can without much of a stretch gather private data of clients, and the data can be used in APT attacks. In this paper, android malware procedures and AI, and utilization of profound learning with malware identification framework.

Last modified: 2020-03-13 00:38:19