A Comprehensive Research on Network Intrusions - Couverture souple

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

9786202074667: A Comprehensive Research on Network Intrusions

Couverture souple

ISBN 10 : 6202074663 ISBN 13 : 9786202074667

Editeur : LAP LAMBERT Academic Publishing, 2017

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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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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2017
Langue: anglais
ISBN 10: 6202074663
ISBN 13: 9786202074667
Reliure: Broch�
Nombre de pages: 176
Coordonn�es du fabricant: non disponible
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A Comprehensive Research on Network Intrusions

A. M. Viswa Bharathy

Edit� par LAP LAMBERT Academic Publishing Nov 2017, 2017

ISBN 10 : 6202074663 ISBN 13 : 9786202074667

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch. N� de r�f. du vendeur 9786202074667

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A Comprehensive Research on Network Intrusions

A. M. Viswa Bharathy|A. Mahabub Basha

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 6202074663 ISBN 13 : 9786202074667

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bharathy A. M. ViswaDr 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 . N� de r�f. du vendeur 385924996

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A Comprehensive Research on Network Intrusions

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

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 6202074663 ISBN 13 : 9786202074667

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Paperback. Etat : Brand New. 176 pages. 8.66x5.91x0.40 inches. In Stock. N� de r�f. du vendeur zk6202074663

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A Comprehensive Research on Network Intrusions

A. M. Viswa Bharathy

Edit� par LAP LAMBERT Academic Publishing Nov 2017, 2017

ISBN 10 : 6202074663 ISBN 13 : 9786202074667

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 176 pp. Englisch. N� de r�f. du vendeur 9786202074667

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A Comprehensive Research on Network Intrusions

A. M. Viswa Bharathy (u. a.)

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 6202074663 ISBN 13 : 9786202074667

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A Comprehensive Research on Network Intrusions

A. M. Viswa Bharathy

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 6202074663 ISBN 13 : 9786202074667

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9786202074667

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