一种改进的CCN兴趣包泛洪攻击防御方法

Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-28 Cooperative journals: 《计算机应用研究》

吴浔 凌捷

Abstract： The interest flooding attack (IFA) in content-centric networking (CCN) is a hot topic of research on CCN network security. In order to improve the ability of CCN to defend against IFA, this paper studied different defense methods and proposed an improved defense method for interest flooding attack in CCN. According to the CCN flow balance principle, the method used the method of malicious prefix tracing to achieve fast detection of IFA, and the defense against IFA was achieved by improving the Additive Increase Multi-plicative Decrease (AIMD) algorithm. The security analysis shows that the proposed method can defend faster when it in the face of IFA. Compared with other defense methods, this method reduces the computational cost of the CCN router when detecting IFA under the premise of ensuring security.

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