29May 2016

An Approach to Network Traffic Based Android Malware Detection.

  • Information Security Cyber Forensics, Department of Information Technology, Faculty of Engineering and Technology, SRM University, Chennai, India.
  • Assistant professor, Department of Information Technology, Faculty of Engineering and Technology, SRM University, Chennai, India.
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Now a day, demand of smart phone apps is at its peak level. Every day millions of apps are uploaded and many of them are vulnerable which will compromise our important phone data. There are many techniques have evolved which will help the user to detect such malware and stay protected. But none of the existing malware detection technique mainly focused on the malware detection by using the network traffic behavior. In the following proposed work, malware detection phase is completely different. We will find out the Spyware, Trojan kind malware and also the application which carried out this work. We will compare the traces with the reference feature parameters and detect the suspicious behavior.


[Prashant B Amrute and V. Joseph Raymond. (2016); An Approach to Network Traffic Based Android Malware Detection. Int. J. of Adv. Res. 4 (May). 284-287] (ISSN 2320-5407). www.journalijar.com


prashant amrute


DOI:


Article DOI: 10.21474/IJAR01/502      
DOI URL: https://dx.doi.org/10.21474/IJAR01/502