The total number of consumers that are using smartphones has increased in the past year and continue to grow. Mobile users are concerned about their sensitive data, but often do not understand the security risks involved while performing financial transactions through a mobile application. This research work mainly focused on application permissions and whether they are categorized as dangerous or normal as per the Android developer guidelines. These two types of permissions help to compute the possible danger of each mobile application. Results showed that risky permissions apps are harmful for user’s data preservation and classification of normal and dangerous apps clearly. Our work proposes a system which would help the users in analyzing and removing harmful apps and thereby protecting their security and privacy. This is achieved by analyzing the various permissions used by an application that it has requested during installation. The overall process of analyzing apps is done using weka data mining tool and classification techniques. The major objective of the proposed system is to detect and remove the potentially risky apps that are present in the user’s Android device.

Android;Classification; Dangerous Permission; Harmful Apps; Normal Permission.

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