基于深度信念网络的鸟群优化(EBSO-DBN)分类技术在物联网网络入侵检测中的应用评估

IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Automatika Pub Date : 2023-11-29 DOI:10.1080/00051144.2023.2269646
A. Biju, S. W. Franklin
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Evaluated bird swarm optimization based on deep belief network (EBSO-DBN) classification technique for IOT network intrusion detection
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来源期刊
Automatika
Automatika AUTOMATION & CONTROL SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
4.00
自引率
5.30%
发文量
65
审稿时长
4.5 months
期刊介绍: AUTOMATIKA – Journal for Control, Measurement, Electronics, Computing and Communications is an international scientific journal that publishes scientific and professional papers in the field of automatic control, robotics, measurements, electronics, computing, communications and related areas. Click here for full Focus & Scope. AUTOMATIKA is published since 1960, and since 1991 by KoREMA - Croatian Society for Communications, Computing, Electronics, Measurement and Control, Member of IMEKO and IFAC.
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