A Novel Unsupervised Malware Detection Method based on Adversarial Auto-encoder and Deep Clustering. - Lanping Zhang; Jie Yin; Jinhui Ning; Yu Wang 078; Bamidele Adebisi; Jie Yang 027 (DSA, 2022)

A Construction of IoT Malicious Traffic Dataset and Its Applications. - Yiping Zhang; Yiyang Zhou; Jie Yin; Yichen Yang 018; Wenwei Xie; Guangjun Liang; Lanping Zhang (IAIC (1), 2023)

Adversarial Learning Aided Malicious Network Traffic Detection Based on EDE Framework. - Lanping Zhang; Yu Wang 078; Tomoaki Ohtsuki; Bamidele Adebisi; Hsiao-Chun Wu; Guan Gui 001 (ICCC, 2023)

An Unsupervised Representation Learning Method for MTC Using Masked Autoencoder. - Ke Xu; Xixi Zhang; Shennan Huang; Lanping Zhang; Shengnan Shi (ICCT, 2023)

Intelligent Unsupervised Network Traffic Classification Method Using Adversarial Training and Deep Clustering for Secure Internet of Things. - Weijie Zhang; Lanping Zhang; Xixi Zhang 001; Yu Wang 078; Pengfei Liu; Guan Gui 001 (Future Internet, 2023)

Anomaly traffic detection based on feature fluctuation for secure industrial internet of things. - Jie Yin; Chuntang Zhang; Wenwei Xie; Guangjun Liang; Lanping Zhang; Guan Gui 001 (Peer Peer Netw. Appl., 2023)