AIB-SPMDM: A Smartphone Malware Detection Model Based on Artificial Immunology
作者： Min Zhao , Tao Zhang , Jinshuang Wang , Zhijian Yuan
DOI: 10.1007/978-3-642-34041-3_64
关键词: Semantics (computer science) 、 Detection rate 、 Real-time computing 、 Systems research 、 Computer security 、 Software behavior 、 False positive rate 、 Computer science 、 Focus (computing) 、 Malware
摘要: The current Artificial Immune-Based malware detection systems research focus on traditional computers that uses information from OS or network, but the smartphone software behavior has its own structure and semantics. Current cannot detect in exactly efficiently. To address these problems, this paper, An Smartphone Malware Detection Model named AIB-SPMDM is brought forwards a prototype system implemented, experiment result show can obtain higher rate decrease false positive rate.
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sci-hub.st 参考文章(12)
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