Multilevel Encryption With Multiple-cloud Storage (Memc) With Bot Detection and Elimination (Bde) in Recommendation System

In general cloud acts as an intermediate in Publish and Subscribe (pub/sub) system to broadcast the publisher’s data to the subscribers. But a direct connection among the subscriber and the publisher is not advisable only a loosely coupled manner allowed along with the cloud. There lot of chances in data getting exposed to the attackers from the client side, publisher side or even from the cloud side. Attackers, specifically botnet controllers, use stealthy commanding systems to set up large-scale control. Encryption before upload is the best way of protecting a sensitive publications and subscriptions. In the proposed system a novel mechanism named as “Multilevel Encryption with multiple-cloud Storage (MEMC) with BOT detection and
elimination (BDE)” is produced. The proposed mechanism is used to secure the publications and subscriptions by providing a multilevel encryption technique before it is disseminated to the cloud. To tackle the un-trusted cloud the system provides an Epub/Esub an encryption system of both to maintain the confidentiality. Further As, the BOT type attacks are common in cloud to resist and overcome this system introduces a BOT detection and elimination technique. Finally, the experimental results ensure the efficiency, performance and feasibility
of the system.