Log Abstraction for Information Security: Heuristics and Reproducibility. - Rafael Copstein; Jeff Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (ARES, 2021)

Exploring syntactical features for anomaly detection in application logs. - Rafael Copstein; Egil Karlsen; Jeff Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (it Inf. Technol., 2022)

MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection. - Rafael Copstein; Brad Niblett; Andrew Johnston; Jeff Schwartzentruber; Malcolm I. Heywood; Nur Zincir-Heywood (CNSM, 2023)

A Boosting Approach to Constructing an Ensemble Stack. - Zhilei Zhou; Ziyu Qiu; Brad Niblett; Andrew Johnston; Jeffrey Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (EuroGP, 2023)

Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research. - Rasha Kashef 001; Monika Freunek; Jeff Schwartzentruber; Reza Samavi; Burcu Bulgurcu; A. J. Khan; Marcus Santos (SecDev, 2023)

Assessing the impact of bag-of-words versus word-to-vector embedding methods and dimension reduction on anomaly detection from log files. - Ziyu Qiu; Zhilei Zhou; Brad Niblett; Andrew Johnston; Jeffrey Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (Int. J. Netw. Manag., 2024)