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...
| मुख्य लेखक: | |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी अंग्रेज़ी |
| प्रकाशित: |
2022
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| विषय: | |
| ऑनलाइन पहुंच: | 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 |
इंटरनेट
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