Anomaly detection using genetic

Network intrusion detection based on anomaly detection techniques has a significant role in protecting networks and systems against harmful activities. Different metaheuristic techniques have been used for anomaly detector generation. Yet, reported literature has not studied the use of the multi-start metaheuristic method for detector generation. This paper proposes a hybrid approach for anomaly detection in large scale datasets using detectors generated based on multi-start metaheuristic method and genetic algorithms.

11p trinhthamhodang1 16-11-2019 20 0   Download

In this paper, we present a novel method for the detection of network anomaly in intrusion detection system. The proposed detection algorithm, are called hybrid algorithm. It is combination of two algorithm genetic and SVM. Experimental results demonstrate to be superior to existing k-mean algorithm.

8p hongnhan878 12-04-2019 30 0   Download