Exploiting Queue-driven Cache Replacement Technique for Thwarting Pollution Attack in ICN
Vimala Rani, Abishek Joshua T, K Narasimma Mallikaarjunan, R. Rajesh Alias Harinarayan, J Dharani, S. Mercy Shalinie · 2021
Information Centric Network (ICN) is upcoming next-generation internet. The ubiquitous caching is primary goal of ICN to reduce the content latency and increase the user satisfaction ratio in the network. Due to this pervasive caching, its prone to security attack namely Cache pollution Attack (CPA) and cache poisoning attack. From the profound literature survey, CPA attacks are more vulnerable than other security threats. In this paper, we propose the Fuzzy C-Means Clustering (FuCL) for CPA attack detection in ICN. Then we propose a novel Multi-Queue Management technique for uninterrupted service provisioning to user during the attack period. This hybrid approach utilize the best of Active Queue Management (AQM) for assigning service scheduling for each users. We are the first to leverage the Fuzzy decision making for content prioritization in the queue. Finally, we adopt the fuzzy based cache replacement algorithm to prevent the malicious content not being cached in CS. The experiments are carried over the ICN testbed and proves the proposed methodology detects the attack with better detection ratio and achieved the higher cache hit ratio compared to state-of-art solutions.