关键词: 内容中心网络, 缓存污染攻击, 模糊层次分析法, 攻击检测

Abstract: Aiming at the detection of cache pollution attack in content centric networking, four parameters are taken as the node status parameters under attack, namely cache replacement ratio per unit time, content average request hops, node traffic and steady state storage ratio of low popular content. This paper builds a fuzzy hierarchy model under attack according to the fuzzy hierarchy analysis, then determines the impact weight of the attack on each parameter and defines the attack impact degree, and finally detects whether the attack occurs by observing attack impact degree and setting the decision threshold. Simulation results and performance analysis show that the proposed algorithm can detect two typical cache pollution attacks effectively, that is Locality-Disruption and False-Locality. Compared with the mainly existing detection algorithms, the proposed algorithm can ensure a higher correct detection ratio and a lower average detection delay.

Key words: content centric networking, cache pollution attack, fuzzy analytic hierarchy process, attack detection