%0 Journal Article
%A LI Zhuo
%A LIANG Ji-feng
%A LIU Kai-hua
%A MA Tian-xiang
%A PENG Peng
%T Research on Pending Interest Table of Named Data Networking Supporting Interest Flooding Attack Detection
%D 2021
%R 10.13190/j.jbupt.2020-131
%J Journal of Beijing University of Posts and Telecommunications
%P 61-67
%V 44
%N 2
%X In order to solve the problems of efficient variable-length name lookup, hardware-supportable storage consumption, and detection of interest flooding attack in the pending interest table(PIT) of named data networking, an cognition and indexing model(C&I) based on character convolutional neural network is proposed. C&I can support the classification and aggregation of name data, and reduce the storage consumption of name data. At the same time, a pending interest table storage structure C&I-PIT based on C&I and its data retrieval algorithm, which supports the detection of interest flooding attack, is proposed. Through the deployment of multi-level memory, the index structure and storage space are respectively deployed on static random access memory and dynamic random access memory. Experiments show that C&I-PIT has good performance in name aggregation, memory consumption and interest flooding attack detection.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2020-131