CS-PSO based Intrusion Detection System in Cloud Environment

Cloud Computing is a provider of different types of services to the user in the Internet to make it cost-effective, time-effective and contributes an effort-less environment. For all these reasons it attracts huge number of users and makes it vulnerable to security threats. Cloud deals with huge number of data and to prohibit intrusion with huge dataset is quite hectic, so to overcome these security issues Intrusion Detection System (IDS) are deployed. To predict all the intrusions instantly and accurately an appropriate training is required for the IDS. Existence of trivial feature set in the training data enhances the memory space and training time. In this paper the authors have implemented a novel CS-PSO-based IDS to classify attacks rapidly and easily. Here NSL-KDD dataset have been chosen to demonstrate the proficiency of the IDS.