%0 Journal Article
%A CAO Qing-hua
%A GONG Pu
%A SHI Jia
%A SU Dong
%A ZHU Yi
%T Collaborative Detection Mechanism for Low-rate Cache Pollution Attack in Named Data Networking
%D 2015
%R 10.13190/j.jbupt.2015.06.010
%J Journal of Beijing University of Posts and Telecommunications
%P 44-48
%V 38
%N 6
%X <p>Cache pollution attack is one of main security threats in named data networking. Focusing on low-rate cache pollution attack, the article proposed a collaborative detection mechanism. This mechanism calculates the request variability of every node in transmission path, adopts the request variability correlation between arbitrary middle node and network edge node as detection indicator. Simulations show that the mechanism can improve the detection rate, ensure the detection reliability. With appropriate collaborative nodes, it can detect locality-disruption more quickly. Compared with other typical detection methods, it is an effectively detection way for low-rate cache pollution attack.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.06.010