Research On The Technology Of Malware Detection And Assessent On Android

The development of intelligent terminals is rapid. Terminal operating systems are more and more like computer operating system, Coupled with the development of wireless communication network infrastructure, the speed of wireless network increased rapidly, more intelligent terminals are more powerful than before. Relative to the PCs intelligent terminals are closer to users, involve to more user’s privacy. Therefore, the attacks on intelligent terminals are more and more serious. So security analysis and malware detection technology for the intelligent terminal operating system are necessary.In this paper, we study Android platform, the most popular operating system. Analysis the Android system’s own security mechanisms and problems existed. Combined with information security risk assessment theory, the thesis established a malicious software threat assessments system for intelligent terminal, and using fuzzy AHP to assess malware threat. Combined with the field of computer malware detection technology, the thesis designed a malware detection model to fix Android system.The thesis includes three fields.1. Android system uses multi-level security architecture. For analyzing the security of Android system, I study the structure of Android system first, Excavation the loophole that could be exploited by hackers from kernel-level application framework level.2. The paper proposed a metrick system to evaluate attack effects of smartphone based on analysis of the extent of attacks on smartphone’s owner. The paper also established the weight of the indexes used to evaluate the effect of attacks on smartphone using FAHP. And the method used in the malware detection model, send the software evaluation results as feedback to the users.3. Android mal-ware detection system for the design model combines with static analysis and dynamic analysis techniques, the use of terminal monitoring and detection of synergistic implementation of the cloud, to improve detection efficiency and accuracy.