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

Malware is a found to be a big threat in computing world. It continues to grow and evolve in complexity. Modern malware hide from static and dynamic analysis tools using advanced techniques. 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 correlation analysis is performed to improve the accuracy of the detection. In order to verify the effectiveness of proposed approach, eleven covert channels have been utilized. Implementation of eleven covert channels improves the accuracy of the detection up to 95%. 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