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Malware Prevention and Detection System in Android Phone

Author(s):

Sachin M. Kolekar , Department of Computer Engineering,Smt.KashibaiNavale College of Engineering,Savitribai Phule Pune university,pune-41.; Parikshit N. Mahalle, Department of Computer Engineering,Smt.KashibaiNavale College of Engineering,Savitribai Phule Pune university,pune-41.

Keywords:

MAMA, Android SDK,Machine learning techniques, Manifest.

Abstract

Mobile malware is malicious software institution and it is used to disrupt the mobile operations and the individual functionalities. In the sequel, this paper presents and discusses the implementation of current state of mobile malware in the wild. To check whether the android application is malware or normal application, a machine learning based classification is used. Malware detection techniques such as by permission analysis approach & package malware setup are presented with results & findings. The findings & results are validated by analyzing the performance in terms of time required & is also presented in this paper.

Other Details

Paper ID: IJSRDV3I30549
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1217-1220

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