Volume : VII, Issue : V, May - 2017

Permission based malware detection by using k means algorithm in Android OS

Chetan J. Shelke, Pravin Karde, V. M. Thakre

Abstract :

 In the developing market now a days cashless transaction are increasing day by day same time its difficult to manage security while online  transaction through android phone as the many application downloaded from market which is freely available may leak private information or some important information  like banking transaction details ,bank account number ,etc ,now a days smartphones are vulnerable for app containing malware ,camera based attack ,SMS based attack may steal your private information .permission based method for malware detection is presented to detect malware from app. decision can be taken that downloaded app is malicious or not is done by k means algorithm k means algorithm form a cluster to classify malicious app .the proposed methodology is useful when the signature of app is not present in malware dataset .system describe the process of extracting features of android apk file in order to detect the malware by using android manifest file. The main aim of this proposed system is to develop an accessible and comprehensive Eclipse structure application, can potentially able to check which applications are using malicious permission or requesting for that permission .

Keywords :

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

Chetan J. Shelke, Pravin Karde, V. M. Thakre, Permission based malware detection by using k means algorithm in Android OS, INDIAN JOURNAL OF APPLIED RESEARCH : Volume‾7 | Issue‾5 | May‾2017

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