Hybrid Classification Based Intrusion Detection and Prevention System: on Cloud Environment - Brossura
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The main contribution of this work is to improve the security of the system and efficiently detect the intruder attack in the cloud environment. It also concentrates on the resource allocation process, which reduces the execution time of the packets with improving the service rate of packets. The false alarm rate and detection rate of the proposed system are improved when compared to the existing traditional intrusion detection approaches.To sum up, the research process provides an efficient intrusion detection and prevention system for solving intruder attacks and security problems. Comparison of traditional machine learning methods and their hybrid methods are also reported for the process of intrusion detection mechanism.
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Hybrid Classification Based Intrusion Detection and Prevention System
Editore:
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206754480
ISBN 13: 9786206754480
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main contribution of this work is to improve the security of the system and efficiently detect the intruder attack in the cloud environment. It also concentrates on the resource allocation process, which reduces the execution time of the packets with improving the service rate of packets. The false alarm rate and detection rate of the proposed system are improved when compared to the existing traditional intrusion detection approaches.To sum up, the research process provides an efficient intrusion detection and prevention system for solving intruder attacks and security problems. Comparison of traditional machine learning methods and their hybrid methods are also reported for the process of intrusion detection mechanism. 144 pp. Englisch. Codice articolo 9786206754480
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Hybrid Classification Based Intrusion Detection and Prevention System
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206754480
ISBN 13: 9786206754480
Nuovo
Brossura
Da: moluna, Greven, Germania
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Condizione: New. Codice articolo 1071993956
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Hybrid Classification Based Intrusion Detection and Prevention System
Editore:
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206754480
ISBN 13: 9786206754480
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main contribution of this work is to improve the security of the system and efficiently detect the intruder attack in the cloud environment. It also concentrates on the resource allocation process, which reduces the execution time of the packets with improving the service rate of packets. The false alarm rate and detection rate of the proposed system are improved when compared to the existing traditional intrusion detection approaches.To sum up, the research process provides an efficient intrusion detection and prevention system for solving intruder attacks and security problems. Comparison of traditional machine learning methods and their hybrid methods are also reported for the process of intrusion detection mechanism.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch. Codice articolo 9786206754480
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Hybrid Classification Based Intrusion Detection and Prevention System : on Cloud Environment
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206754480
ISBN 13: 9786206754480
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main contribution of this work is to improve the security of the system and efficiently detect the intruder attack in the cloud environment. It also concentrates on the resource allocation process, which reduces the execution time of the packets with improving the service rate of packets. The false alarm rate and detection rate of the proposed system are improved when compared to the existing traditional intrusion detection approaches.To sum up, the research process provides an efficient intrusion detection and prevention system for solving intruder attacks and security problems. Comparison of traditional machine learning methods and their hybrid methods are also reported for the process of intrusion detection mechanism. Codice articolo 9786206754480
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Quantità: 1 disponibili