Anomaly-based intrusion detection system using multi-objective grey wolf optimisation algorithm

The rapid development of information technology leads to increasing the number of devices connected to the Internet. Besides, the amount of network attacks also increased. Accordingly, there is an urgent demand to design a defence system proficient in discovering new kinds of attacks. One of the mos...

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Veröffentlicht in:	Journal of ambient intelligence and humanized computing Jg. 11; H. 9; S. 3735 - 3756
Hauptverfasser:	Alamiedy, Taief Alaa, Anbar, Mohammed, Alqattan, Zakaria N. M., Alzubi, Qusay M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2020 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial Intelligence Classification Computational Intelligence Data encryption Datasets Engineering Feature selection Internet Intrusion detection systems Literature reviews Machine learning Methods Multiple objective analysis Network security Optimization Original Research Packets (communication) Performance degradation Robotics and Automation Sensors Support vector machines System effectiveness Taxonomy User Interfaces and Human Computer Interaction Grey wolf algorithm Feature selection Intrusion detection system Classification Swarm intelligence Support vector machine Multi-objective optimisation
ISSN:	1868-5137, 1868-5145
Online-Zugang:	Volltext
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