Host-Server-Based Malware Detection System for Android Platforms Using Machine Learning
作者： Anam Fatima , Saurabh Kumar , Malay Kishore Dutta
DOI: 10.1007/978-981-15-1275-9_17
关键词:
摘要: The popularity and openness of Android have made it the easy target malware operators acting mainly through malware-spreading apps. This requires an efficient detection system which can be used in mass market is capable mitigating zero-day threats as opposed to signature-based approach regular update database. In this paper, host-server-based malicious app presented where on-device feature extraction performed for analyzed extracted features are sent over remote server machine learning applied analysis detection. At server-end, static such permissions, components, etc., been train classifier using random forest algorithm resulting accuracy more than 97%.
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sci-hub.st 参考文章(14)
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