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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015 | Popularity: 6.3 / 10

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Virus Detection System for Android Using ANN

Harshada S. Palve, Vrunda K. Bhusari

Abstract: Popularity of Handheld Device is changed nowdays. People uses smart phone for many purpose same as desktop computers like web browsing, social networking, online Banking etc. In smart phone market currently Android is the platform with highest share. Because of such popularity and open source nature of Android OS it is main source of attackers. As Android itself a very secure operating system so main source of viruses in android is the applications which is downloaded by user from internet. Here we proposed a system which is capable of detecting that whether application is malicious or not. And set of permissions is a dataset. Artificial Neural Network (ANN) algorithm is used as classifier. Set of permission is given as input to train the network. Output produced is the either 1or 0for analysis purpose to show that how viruses are propagated two applications are developed which uses Wi-fi and SMS facility of mobile phone

Keywords: Android, mobile, classifier, viruses

Edition: Volume 4 Issue 6, June 2015

Pages: 2257 - 2261

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