A multi-view context-aware approach to Android malware detection and malicious code localization
Many existing Machine Learning (ML) based Android malware detection approaches use a variety of features such as security-sensitive APIs, system calls, control-flow structures and information flows in conjunction with ML classifiers to achieve accurate detection. Each of these feature sets provides...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/144570 |
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機構: | Nanyang Technological University |
語言: | English |