An Effective Approach to Detect Malware that Exploit Information Hiding in Android Devices

A Malware is a very big threat in today’s computing world. It continues to grow in volume and evolve in complexity. Modern malware uses advanced techniques to hide from static and dynamic analysis tools. The existing system uses classification based and regression based approach for detection. The proposed system utilizes the classification based approach and regression based approach for detection for the malware. In addition to that the system also performs correlation analysis on the events to improve the accuracy of the detection. In order to verify the effectiveness of proposed approach, eleven covert channels have been utilized. The experimental result shows the feasibility and effectiveness of the proposed approach to detect the presence of malware and analysis of detection. Keywords—Malware, Classification, Regression, Covert channel, Correlation analysis, Android