Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (6): 14-18.doi: 10.13190/j.jbupt.2017-104

• Papers • Previous Articles     Next Articles

A Cache Pollution Defense Mechanism Based on Trust Judgment of Face Abnormality in Content Centric Networking

ZHU Yi, WANG Xin-ping, HUANG Ru-hui, KANG Hao-hao, CAO Qing-hua   

  1. School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu Zhenjiang 212013, China
  • Received:2017-06-09 Online:2017-12-28 Published:2017-12-28
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Abstract: 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.

Key words: cache pollution attack, defense mechanism, face acceptance limitation, flash crowd, trust judgment

CLC Number: