Preventing the Cloud Networks through Semi-Supervised Clustering from Both Sides Attacks

Cloud computing is a centralized data storage system providing various services worldwide. Different organizations are using the cloud for other purposes. As number of users on server increases, so does rate attacks cloud. Various researchers have devised different solutions to solve these problems, most widely used being Intrusion Detection System (IDS). In this paper, network architecture has been designed in which an efficient technique, semi-supervised clustering, used. users’ responses inside and outside observed, rules mechanisms enforced based responses. The divided into three scenarios. first scenario, detected, then ways prevent discussed. second scenario uses Shell, allowing authentic access through queries. third tool’s performance detection measured by applying results confusion matrix. A comparative analysis done with papers at end conclusions drawn results.