Intrusion detection System based on Hybrid Whale-Genetic Algorithm
Riya Bilaiya, Rajeev Sharma · 2018
As the community is now a days moving rapidly towards the cloud, its security is something we really need to think and research about. The problem of security is as old as the internet is, and hence a number of solutions for the problem has also been thought of. Many of the various solutions consists using firewalls for the network or in the host, anti-malware programs installed on the system, packet-sniffing techniques for detection of malicious entities as well as fake traffic, pattern and signature matching techniques for various files that the system has to deal with every now and then. One of these is solutions is deploying Intrusion Detection System (IDS) in the network. Here, we have devised a model that will be able to find any unwanted intrusions in the network. For this, we have employed Genetic Algorithm (GA) with the Whale Optimization Algorithm which we will see is an effective algorithm to use. In the first step, an Intrusion Detection System (IDS) is built using GA with natural selection method. The proposed hybrid algorithm in this scheme is then tested for the detection of malicious network traffic date set.