NDN Content Poisoning Mitigation Using Bird Swarm Optimization and Trust Value

Abstract

Information-Centric Networking (ICN) is considered a viable strategy for regulating Internet consumption using the Internet’s underlying architecture. Although Named Data Networking (NDN) and its reference-based implementation, the NDN Forwarding Daemon (NFD), are the most established ICN solutions, their vulnerability to the Content Poisoning Attack (CPA) is regarded as a severe threat that might dramatically impact this architecture. Content Poisoning can significantly minimize the impact of NDN’s universal data caching. Using verification signatures to protect against content poisoning attacks may be impractical due to the associated costs and the volume of messages sent across the network, resulting in high computational costs. Therefore, in this research, we designed a method in NDN called Bird Swarm Optimization Algorithm-Based Content Poisoning Mitigation (BSO-Content Poisoning Mitigation Scheme). By aggregating the security information of entire routers along the full path, this system introduces the BSO to explore the secure transmission path and alter the content retrieval procedure. Meanwhile, based on the determined trustworthy value of each node, the BSO-Content Poisoning Mitigation Scheme can bypass malicious routers, preventing them from disseminating illicit content in the future. Additionally, the suggested technique can minimize content poisoning utilizing removing erroneous Data packets from the cache-store during the pathfinding process. The proposed method has been subjected to extensive analysis compared with the ROM scheme and improved performance justified in several metrics. BSO-Content Poisoning Mitigation Scheme is more efficient and faster than the ROM technique in obtaining valid Data packets and resulting in a higher good cache hit ratio in a comparatively less amount of time.