IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks

Qiyuan Fan, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao, Min An, Yuqing Zhao

Abstract: Highlights•We propose a denoising algorithm based on IDTT, which solve the inefficiency of traditional TT decomposition through low-rank estimation and distributed computing.•We propose a framework for DDoS attack detection by combining three aspects: data preprocessing, data denoising, data classification.