Hybrid Classification Based Intrusion Detection and Prevention System

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.

Autorentext

Dr. V. Balamurugan is working as an Associate Professor/ CSE.Prof. S. Faizal Mukthar Hussain is working as an Assistant Professor/ CSE and Dr. S. Selvaperumal is working as a Dean - Research and Professor/ EEE in Mohamed Sathak Engineering College, Sathak Nagar, SH 49, Kilakarai, Ramanathapuram, Tamilnadu, India.