Detection of Cache Pollution Attacks in a Secure Information-Centric Network

Abstract

The future of Internet architectures is information-centric networking structure, to solve the problems of content spoofing attacks in the current Internet structure, making it more useful for IoT-based applications. The ICN is structured with the Internet forwarding state technology which is an advanced technology with a comparative structure. In this paper, we are concentrating on the Internet forwarding strategy which uses data forwarding in NDN-based networking. It understands content priority and prefixes the content parameter and passes through the named data network to deliver the packet based on the demands. Also, future Internet router cache could face the problem of overflowing with non-popular content due to cache pollution attack (CPA); i.e., the router keeps receiving requests for vulnerable content. The detection and defense against such spoofing attacks are especially difficult due to cache pollution attack’s similarities with every other consumer request. Based on the hobby content priority, named records networking accelerates the process and decreases the traffic to reach the request with low latency site visitors. We thereby address the present-day measures, arrangements and endeavors of the apparatus’s applied clustering approach to discover and defend against CPAs. Finally, we recommend the improved decision tree method where once any attack is detected an assault table will be updated to report any abnormal requests. While such requests are nevertheless forwarded, the corresponding content chunks are not cached. We carry out the above technique simulations with the aid of ndnSIM.