Evolving optimised decision rules for intrusion detection using particle swarm paradigm

DOI10.1080/00207721.2011.577244zbMath1314.68297OpenAlexW2125589827MaRDI QIDQ2935145

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Publication date: 22 December 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2011.577244

zbMATH Keywords

classificationdecision treemachine learningintrusion detection systemparticle swarm optimisationknowledge discovery and data mining dataset

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Profit optimisation of the multiple-vacation machine repair problem using particle swarm optimisation

Uses Software

• C4.5

Cites Work

• Protecting complex infrastructures against multiple strategic attackers
• Using an unsupervized neural network and decision tree as knowledge acquisition tools for FMS scheduling
• Environmentally constrained economic dispatch using Pareto archive particle swarm optimisation

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