Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (6): 44-48.doi: 10.13190/j.jbupt.2015.06.010

• Papers • Previous Articles     Next Articles

Collaborative Detection Mechanism for Low-rate Cache Pollution Attack in Named Data Networking

ZHU Yi, SHI Jia, GONG Pu, CAO Qing-hua, SU Dong   

  1. School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu Zhenjiang 212013, China
  • Received:2015-04-20 Online:2015-12-28 Published:2015-12-01

Abstract:

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.

Key words: named data networking, cache pollution attack, low-rate attack, collaborative detection

CLC Number: