Detection of Android Malware based on Signature and Permission Analysis


An Android operating system for mobile phones and Personal Digital Assistant (PDA) devices has become increasingly popular due to its incredible features. These feature-based applications help the users to perform their day-to-day tasks with ease and comfort. Though these featured applications increase the demand for Android devices, a large number of malicious applications are getting downloaded. This malware steals private information about the users without their knowledge and also causes frequent failures of the operating system. Another threat in Android devices is applications collusion wherein pairs of applications collude via a covert communication channel in order to perform some dangerous tasks collaboratively. Due to these issues, safety and security of Android devices is a primary concern for most of the researchers. In this paper, we propose a practical idea for identifying stand-alone applications that intend to harm the users as well as suspect collusion pairs between applications by analyzing the signature and permissions of the applications.

Detection of Android Malware based on Signature and Permission Analysis : Available Modules (2)


Title Updated At Action
Report 2019-10-28 08:30:26
Poster 2019-10-28 08:30:26
Title Updated At Action

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