Advancements in Intrusion Detection Systems: A Comparative Analysis of Machine Learning and AI Methodologies

To improve the effectiveness of intrusion detection system (IDS), this article explores the use of machine learning and AI based technology. The study encompasses the application of various approaches in the category of classification, clustering, and neural networks, across diverse datasets. The pr...

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Vydané v:	International Conference on Computing, Communication, and Networking Technologies (Online) s. 1 - 7
Hlavní autori:	Panigrahi, Swayankar, Mohanty, Soumya Ranjan, Dalai, Ritik Roshan, Wagh, Mamata P., Sawaika, Anuradha, Pradhan, Priti Priyadarsani
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 24.06.2024
Predmet:	Accuracy Classification Algorithms Clustering Algorithms Computational modeling Computer hacking Convolution Cyber Security Deep Learning Feature Selection IDS Intrusion detection Iterative methods Machine learning Malware Nearest neighbor methods Neural networks
ISSN:	2473-7674
On-line prístup:	Získať plný text
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