Synopsis
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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About the Author
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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A Comprehensive Research on Network Intrusions
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LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202074663
ISBN 13: 9786202074667
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Taschenbuch. Condition: 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. Seller Inventory # 9786202074667
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A Comprehensive Research on Network Intrusions
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A Comprehensive Research on Network Intrusions
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A Comprehensive Research on Network Intrusions
Published by
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202074663
ISBN 13: 9786202074667
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Taschenbuch. Condition: 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 Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Seller Inventory # 9786202074667
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A Comprehensive Research on Network Intrusions
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Taschenbuch. Condition: Neu. A Comprehensive Research on Network Intrusions | A. M. Viswa Bharathy (u. a.) | Taschenbuch | 176 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202074667 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 110660186
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A Comprehensive Research on Network Intrusions
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Taschenbuch. Condition: 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. Seller Inventory # 9786202074667
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A Comprehensive Research on Network Intrusions
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202074663
ISBN 13: 9786202074667
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