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A Comprehensive Research on Network Intrusions - Tapa blanda

Bharathy, A. M. Viswa; Basha, A. Mahabub

 
9786202074667: A Comprehensive Research on Network Intrusions
Tapa blanda
ISBN 10: 6202074663 ISBN 13: 9786202074667
Editorial: LAP LAMBERT Academic Publishing, 2017

Sinopsis

This work has recorded almost all approaches developed so far for mitigating the intrusions with its advantages and drawbacks. A practically successful Intrusion Detection System (IDS) is possible only if the best of two or more different approaches are utilised in building a Hybrid Network Intrusion Detection system (H-NIDS). This way of integrating two or more detection techniques as one is called as cascading approach for designing IDS. The proposed work incorporates six different methods in three different approaches. The Multi Class Classification Multiple Criteria Linear Programming (MCC-MCLP), Fuzzy Logic (FL) and Variable Multiplicative K-Means Algorithm (VMKMA) multi classifies the data set obtained from the widely used KDD 1999. The Support Vector Machine (SVM), Particle Swarm Optimization (PSO) and Self-Organising Particle Swarm Optimization (SOPSO) optimizes the classification and produces better results.

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Reseña del editor

This work has recorded almost all approaches developed so far for mitigating the intrusions with its advantages and drawbacks. A practically successful Intrusion Detection System (IDS) is possible only if the best of two or more different approaches are utilised in building a Hybrid Network Intrusion Detection system (H-NIDS). This way of integrating two or more detection techniques as one is called as cascading approach for designing IDS. The proposed work incorporates six different methods in three different approaches. The Multi Class Classification Multiple Criteria Linear Programming (MCC-MCLP), Fuzzy Logic (FL) and Variable Multiplicative K-Means Algorithm (VMKMA) multi classifies the data set obtained from the widely used KDD 1999. The Support Vector Machine (SVM), Particle Swarm Optimization (PSO) and Self-Organising Particle Swarm Optimization (SOPSO) optimizes the classification and produces better results.

Biografía del autor

Dr A. M. Viswa Bharathy, has 7 years of experience as a teaching faculty. His interests are Computer Networks, Wireless Networks and Mobile Communications. He is reviewer and editorial member of many journals. Dr A. Mahabub Basha, has more than 40 years of experience in teaching. His interests are Power System Relaying and Electric Drives.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
6202074663
ISBN 13 
9786202074667
Encuadernación
Tapa blanda
Número de páginas
176
Contacto del fabricante
no disponible
Persona responsable
no disponible