Intrusion Detection and Prevention in Cloud Computing using Genetic Algorithm

High level security is an essentially required in the communication and information sharing on the network clouds. Intrusion detection system (IDS) is being used to detect violations and malicious behavior over networks and hosts. Purpose of our paper is to provide an Intrusion detection system to detect and prevent the malicious behavior on the cloud computing. We propose an intrusion detection system which is based on the cloud computing to reduce the risk of intrusion on the cloud networks and cover up the deficiency of already in use intrusion detection systems. Our design is based on cloud computing Software-as-a service (Saas) model for detection and prevention of intrusion cloud based users. Our System set up a hardware layer which forwarded the request to a service layer which analyzes the request patterns and further forwards to the intrusion detection layers which checks the request and provides the alerts against the malicious requests by applying genetic algorithm. Already existing Intrusion detection systems provides the detection in a single unit and use of genetic algorithm is rear in the already existing systems..