A multi-class classification MCLP model with particle swarm optimization for network intrusion detection

DOI10.1007/s12046-017-0626-8zbMath1381.90101OpenAlexW2601063296WikidataQ126588593 ScholiaQ126588593MaRDI QIDQ1703607

A. M. Viswa Bharathy, A. Mahabub Basha

Publication date: 2 March 2018

Published in: Sādhanā (Search for Journal in Brave)

Full work available at URL: https://www.ias.ac.in/describe/article/sadh/042/05/0631-0640

zbMATH Keywords

particle swarm optimizationmulti-class classificationmultiple criteria linear programmingnetwork intrusion detection

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multi-objective and goal programming (90C29) Linear programming (90C05) Network design and communication in computer systems (68M10) Approximation methods and heuristics in mathematical programming (90C59) Pattern recognition, speech recognition (68T10)

Cites Work

• Optimization based data mining. Theory and applications.
• A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks
• Application of SVM and ANN for intrusion detection
• Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors
• Green's dyadic approach of the self-stress on a dielectric–diamagnetic cylinder with non-uniform speed of light
• Handbook of Bioinspired Algorithms and Applications
• Self-organizing maps.

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