An Autonomous Protection Algorithm for Android Malware Attacks Based on Multiple Features
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At Present, the Method of Detecting Android Malware Based on Permission is More Popular, But the Accuracy Rate Needs to Be Improved. However, the Detection Method Based on Function Call Has Obvious Disadvantages of Difficult Feature Extraction. Based on the Traditional Permission Feature Reservation, Android Malware is Detected by the Combination of Permission and Resource File Features, Which Has Good Convenience and Accuracy, and Can Significantly Avoid the Shortcomings of Traditional Detection Methods. Therefore, Based on Multiple Features, This Paper Discusses the Autonomous Protection Algorithm of Android Malware Attacks. through Combing the Current Relevant Research Literature, This Paper Makes a Detailed Description of Feature Extraction. Then the Experiment is Designed to Test the Effectiveness of the Proposed Algorithm. I Hope That through the Exploration of This Paper, We Can Provide Some Reference and Inspiration for the Improvement and Improvement of Android Malware Detection Methods.
Multi Feature; Android; Malware; Attack Behavior; Autonomous Protection Algorithm