An Efficient Security System for Mobile Data Monitoring. - Likun Liu; Hongli Zhang 001; Xiangzhan Yu; Yi Xin 002; Muhammad Shafiq 003; Mengmeng Ge 003 (Wirel. Commun. Mob. Comput., 2018)

Robot Communication: Network Traffic Classification Based on Deep Neural Network. - Mengmeng Ge 003; Xiangzhan Yu; Likun Liu (Frontiers Neurorobotics, 2021)

ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting Behavior. - Mengmeng Ge 003; Xiangzhan Yu; Vinay Mysore Sachidananda; Shangqing Liu; Likun Liu (ICDM (Workshops), 2022)

Automatic Detection and Analysis towards Malicious Behavior in IoT Malware. - Sen Li; Mengmeng Ge 003; Ruitao Feng; Xiaohong Li 001; Kwok-Yan Lam (ICDM (Workshops), 2023)

Unmasking the Lurking: Malicious Behavior Detection for IoT Malware with Multi-label Classification. - Ruitao Feng; Sen Li; Sen Chen 001; Mengmeng Ge 003; Xuewei Li 001; Xiaohong Li 001 (LCTES, 2024)

TOPLDM: Towards dynamic low overhead traffic obfuscation based on packet length distribution modification. - Zhichao Hu; Likun Liu; Jiaxing Gong; Yao Zhang; Minghao Guo; Mengmeng Ge 003; Qing Guo; Lina Ma; Xiangzhan Yu (Comput. Networks, 2025)

CCLog: Actionable APT forensics via fused log semantics and provenance graph topology. - Zhichao Hu; Likun Liu; Hongjie Li; Chen Song; Mengmeng Ge 003; Qing Guo; Lina Ma; Xiangzhan Yu (Comput. Networks, 2025)

Enmob: Unveil the Behavior with Multi-flow Analysis of Encrypted App Traffic. - Mengmeng Ge 003; Ruitao Feng; Likun Liu; Xiangzhan Yu; Vinay Sachidananda; Xiaofei Xie; Yang Liu 003 (Cybersecur., 2025)