9786206754480 - Hybrid Classification Based Intrusion Detection and Prevention System: on Cloud Environment de V., Balamurugan; S., Selvaperumal; S., Faizal Mukthar Hussain (8 resultados)

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Hybrid Classification Based Intrusion Detection and Prevention System | on Cloud Environment | Balamurugan V. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206754480 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condición: New. Print on Demand.

Taschenbuch. Condición: 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.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.

Taschenbuch. Condición: 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.