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...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2022
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| Subjects: | |
| Online Access: | 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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http://eprints.utem.edu.my/id/eprint/28241/1/Hybrid%20weight%20deep%20belief%20network%20algorithm%20for%20anomaly-based%20intrusion%20detection%20system.pdfhttp://eprints.utem.edu.my/id/eprint/28241/2/Hybrid%20weight%20deep%20belief%20network%20algorithm%20for%20anomaly-based%20intrusion%20detection%20system.pdf