Renyi entropy-based detection method for low-rate interest flooding attacks
Ziyi Zhao, Kai Shi · Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering · 2021
Named Data Networking (NDN) has excellent security performance compared with TCP/IP networks. Because of this advantage, in the era of big data, the NDN is likely to become the mainstream network in the future, and it has high research value and development prospects. However, in practical application, NDN still has certain functional defects, which is easy to cause security problems. Especially when dealing with complex interest flooding attacks, NDN predisposes to damage. Based on this, in conjunction with low-rate interest flooding attacks in NDN, the article proposes a Renyi entropy-based interest flooding attack detection method to improve the network's defense capability against complex interest flooding attacks.