A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks

Saurabh Dey; Qiang Ye; Srinivas Sampalli

doi:10.1016/j.inffus.2019.01.002

A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks

Saurabh Dey, Qiang Ye, Srinivas Sampalli

Physics and Astronomy

科研成果: 期刊稿件 › 文章 › 同行评审

73 引用（Scopus）

源语言	英语
页（从-至）	205-215
页数	11
期刊	Information Fusion
卷	49
DOI	https://doi.org/10.1016/j.inffus.2019.01.002
出版状态	已出版 - 9月 2019

!!!ASJC Scopus Subject Areas

软件
信号处理
信息系统
硬件和架构

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10.1016/j.inffus.2019.01.002

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title = "A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks",

author = "Saurabh Dey and Qiang Ye and Srinivas Sampalli",

note = "Funding Information: This study was supported by National Sciences and Engineering Research Council of Canada ( RGPIN-2017-05853 ). Publisher Copyright: {\textcopyright} 2019 Elsevier B.V.",

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JO - Information Fusion

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A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks

!!!ASJC Scopus Subject Areas

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