Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system

With an increasing number of recent services connected to the Internet, including cloud computing and Internet of Things systems, cyber-attacks have become more challenging. The deep learning approach plays a pertinent role in tracing new attacks in cybersecurity. Recently, researchers suggested a d...

書誌詳細
第一著者:	Maseer, Ziadoon Kamil
フォーマット:	学位論文
言語:	英語英語
出版事項:	2022
主題:	Q Science (General)
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/28241/1/Hybrid%20weight%20deep%20belief%20network%20algorithm%20for%20anomaly-based%20intrusion%20detection%20system.pdf http://eprints.utem.edu.my/id/eprint/28241/2/Hybrid%20weight%20deep%20belief%20network%20algorithm%20for%20anomaly-based%20intrusion%20detection%20system.pdf

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