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Malware Detection Framework and Evidence Collection in Wireless Mobile Network Devices

Author(s):

C.N.Mani , Veltech Hightech Engineering college, Avadi.; S.Hemalatha, Veltech Hightech Engineering college, Avadi.

Keywords:

Malware Detection, Deeds Learning, Seurity

Abstract

Contact arrangements that prop both voice and data services have come to be omnipresent and indispensable in people’s daily lives. Calculating settings on cellphones, exceptionally smartphones, are becoming extra open and general-purpose, therefore they additionally come to be appealing targets of malware. Cellphone malware not merely reasons privacy leakage, supplementary prices, and depletion of battery domination, but additionally generates malicious traffic and drains down mobile web and ability capacity. exceptional behaviors of requests and the working users on input and output constrained mechanisms, and leverages a Hidden Markov Ideal (HMM) to discover request and user behaviours from two main aspects: procedure state transitions and user operational patterns. The counseled framework realizes a Host-based Malware Detection Arrangement that unceasingly monitors assorted features and events obtained from the mobile mechanism and next applies Contraption Discovering anomaly detectors to categorize the amassed data as normal (benign) or atypical (malicious).

Other Details

Paper ID: IJSRDV3I31596
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 3281-3283

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