A Bayesian Rule Learning Based Intrusion Detection System for the MQTT Communication Protocol. - Qi Liu 023; Hubert B. Keller; Veit Hagenmeyer (ARES, 2021)

A Review of Rule Learning-Based Intrusion Detection Systems and Their Prospects in Smart Grids. - Qi Liu 023; Veit Hagenmeyer; Hubert B. Keller (IEEE Access, 2021)

Binary Exploitation in Industrial Control Systems: Past, Present and Future. - Qi Liu 023; Kaibin Bao; Veit Hagenmeyer (IEEE Access, 2022)

Aviator: A MITRE Emulation Plan-Derived Living Dataset for Advanced Persistent Threat Detection and Investigation. - Qi Liu 023; Kaibin Bao; Veit Hagenmeyer (IEEE Big Data, 2024)

Accurate and Scalable Detection and Investigation of Cyber Persistence Threats. - Qi Liu 023; Muhammad Shoaib; Mati Ur Rehman; Kaibin Bao; Veit Hagenmeyer; Wajih Ul Hassan (CoRR, 2024)

HADES: Detecting Active Directory Attacks via Whole Network Provenance Analytics. - Qi Liu 023; Kaibin Bao; Wajih Ul Hassan; Veit Hagenmeyer (CoRR, 2024)

Advanced Persistent Threats on Consumer Energy Resources in Decentralized Energy Systems. - Kaibin Bao; Sid Chi-Kin Chau; Ghada Elbez; Qi Liu 023; Veit Hagenmeyer (e-Energy, 2025)

Commander: A robust cross-machine multi-phase Advanced Persistent Threat detector via provenance analytics. - Qi Liu 023; Kaibin Bao; Veit Hagenmeyer (J. Inf. Secur. Appl., 2025)