%0 Journal Article
%A CAO Qing-hua
%A HUANG Ru-hui
%A KANG Hao-hao
%A WANG Xin-ping
%A ZHU Yi
%T A Cache Pollution Defense Mechanism Based on Trust Judgment of Face Abnormality in Content Centric Networking
%D 2017
%R 10.13190/j.jbupt.2017-104
%J Journal of Beijing University of Posts and Telecommunications
%P 14-18
%V 40
%N 6
%X To solve the problem of cache pollution attack in content centric networking, a traffic limiting control mechanism was proposed based on trusted judgment of face abnormality. By detecting the abnormality status of each face, the traffic of abnormal face was limited according to its request hit probability. Simulations show that, this mechanism can defend against both locality-disruption and false-locality attacks. In addition, using the trust judgment of face abnormality, the false-locality attack can be distinguished from the flash crowd event with large probability. So, it can avoid mistakenly restraining the normal network behavior.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017-104