基于类散点比的马氏距离法检测物联网交通异常

IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Mobile Networks & Applications Pub Date : 2023-10-31 DOI:10.1007/s11036-023-02257-w
Daegeon Kim, Velliangiri S., Bhuvaneswari Amma N.G., Dongoun Lee
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Class Scatter Ratio Based Mahalanobis Distance Approach for Detection of Internet of Things Traffic Anomalies
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来源期刊
Mobile Networks & Applications
Mobile Networks & Applications 工程技术-电信学
CiteScore
9.50
自引率
5.30%
发文量
198
审稿时长
6-12 weeks
期刊介绍: Mobile Networks and Applications'' technical scope covers mobility solutions that provide communication technologies and mobile services, which enables users to access resources and share information freely, anytime anywhere. The emerging symbiosis of wireless communication, the ever more powerful mobile devices, with the back-end resources of the cloud, making the user fully location independent. The journal addresses the convergence of mobility, computing and information organization, services and management. In approving Special Issues, the Journal places an equal emphasis on the various areas of nomadic computing, data management, related software and hardware technologies, and mobile user services, alongside more `classical'' topics in wireless and mobile networking. The journal documents practical and theoretical results which make a fundamental contribution.
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