Low-Latency Intrusion Detection Using a Deep Neural Network

Intrusion detection systems (IDSs) must be implemented across the network to identify and avoid attacks to counter the emerging tactics and techniques employed by hackers. In this research, we propose a lightweight IDS for improving IDS efficiency and reducing attack detection execution time. We use...

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Veröffentlicht in:	IT professional Jg. 24; H. 3; S. 67 - 72
Hauptverfasser:	Ahmad, Umair Bin, Akram, Muhammad Arslan, Mian, Adnan Noor
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Washington IEEE 01.05.2022 IEEE Computer Society
Schlagworte:	Algorithms Artificial neural networks Computer hacking Deep learning Intrusion detection Intrusion detection systems Network latency Neural networks Radio frequency Tactics TCP/IP (protocol) TCPIP
ISSN:	1520-9202, 1941-045X
Online-Zugang:	Volltext
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