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- W144545793 abstract "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 research cannot detect malware in smartphone exactly and efficiently. To address these problems, in this paper, An Artificial Immune-Based Smartphone Malware Detection Model named AIB-SPMDM is brought forwards and a prototype system is implemented, the experiment result show that the system can obtain higher detection rate and decrease the false positive rate." @default.
- W144545793 created "2016-06-24" @default.
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- W144545793 date "2012-01-01" @default.
- W144545793 modified "2023-09-26" @default.
- W144545793 title "AIB-SPMDM: A Smartphone Malware Detection Model Based on Artificial Immunology" @default.
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- W144545793 doi "https://doi.org/10.1007/978-3-642-34041-3_64" @default.
- W144545793 hasPublicationYear "2012" @default.
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