Deep intrusion net: an efficient framework for network intrusion detection using hybrid deep TCN and GRU with integral features

In recent times, the several cyber attacks are occurred on the network and thus, essential tools are needed for detecting intrusion over the network. Moreover, the network intrusion detection systems become an important tool thus, it has the ability to safeguard the source data from all malicious ac...

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Veröffentlicht in:	Wireless networks Jg. 31; H. 2; S. 1255 - 1278
Hauptverfasser:	Rani, Y. Alekya, Reddy, E. Sreenivasa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2025 Springer Nature B.V
Schlagworte:	Algorithms Communications Engineering Computer Communication Networks Control systems Cybersecurity Data transmission Deep learning Electrical Engineering Engineering Heuristic methods Intrusion detection systems IT in Business Machine learning Networks Optimization Original Paper Performance enhancement Robust control Standard data Target detection Auto encoder Gated recurrent unit Detected intrusion outcomes Deep intrusion net Intrusion detection Improved chimp optimization algorithm Deep temporal convolution network
ISSN:	1022-0038, 1572-8196
Online-Zugang:	Volltext
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