A Novel Threat Intelligence Detection Model Using Neural Networks

A network intrusion detection system (IDS) is commonly recognized as an effective solution for identifying threats and malicious attacks. Due to the rapid emergence of threats and new attack vectors, novel and adaptive approaches must be considered to maintain the effectiveness of IDSs. In this pape...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.131229-131245
Hauptverfasser:	Salem, Maher, Al-Tamimi, Abdel-Karim
Format:	Artikel
Sprache:	eng
Schlagworte:	clustering Clustering methods Computer networks Data models data processing EGHSOM GHSOM Intelligence gathering Intrusion detection Intrusion detection systems Neural networks NNB Numerical models Performance evaluation Real time Security Self organizing maps Self-organizing feature maps Threat evaluation threat intelligence
Online-Zugang:	Volltext
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