Android Malicious Application Detection Based on Improved Mayfly Algorithm

With the rapid development of the Internet and mobile terminals, Android is one of the most popular mobile operating systems. However, the proliferation of Android malicious applications is also very serious, so it is necessary to detect and deal with Android applications in advance, and how to make effective selection among many features is a crucial process in malicious application detection. In this paper, an Android malicious application detection model is established based on the improved mayfly algorithm with reference to related Android malicious detection methods for Android platform applications. By effectively selecting the features, the optimal combination of features is obtained to optimize the classification results, so as to improve the detection performance of Android malicious application detection.The static analysis is used to extract the features of Android applications, and the malicious application detection model is examined by various classification algorithms, and the results confirm the feasibility and superiority of the proposed Android malicious application detection method based on the improved mayfly algorithm.