Okwudili Ezeme, Ph.D.
Okwudili Ezeme, Ph.D.
Ontario Tech University
Verified email at ontariotechu.net - Homepage
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Dream: deep recursive attentive model for anomaly detection in kernel events
OM Ezeme, QH Mahmoud, A Azim
IEEE Access 7, 18860-18870, 2019
Hierarchical attention-based anomaly detection model for embedded operating systems
MO Ezeme, QH Mahmoud, A Azim
2018 IEEE 24th International Conference on Embedded and Real-Time Computing …, 2018
Implementation and development of an offline co-simulation testbed for studies of power systems cyber security and control verification
E Hammad, M Ezeme, A Farraj
International Journal of Electrical Power & Energy Systems 104, 817-826, 2019
An imputation-based augmented anomaly detection from large traces of operating system events
M Ezeme, A Azim, QH Mahmoud
Proceedings of the Fourth IEEE/ACM International Conference on Big Data …, 2017
A Multi-domain Co-Simulator for Smart Grid: Modeling Interactions in Power, Control and Communications
MO Ezeme
University of Toronto (Canada), 2015
A framework for anomaly detection in time-driven and event-driven processes using kernel traces
OM Ezeme, Q Mahmoud, A Azim
IEEE Transactions on Knowledge and Data Engineering, 2020
DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes
OM Ezeme, M Lescisin, QH Mahmoud, A Azim
Canadian Conference on Artificial Intelligence, 549-555, 2019
PESKEA: Anomaly detection framework for profiling kernel event attributes in embedded systems
OM Ezeme, A Azim, Q Mahmoud
IEEE Transactions on Emerging Topics in Computing, 2020
Implementation of an Offline Co-Simulation Test-Bed for Cyber Security and Control Verification
E Hammad, M Ezeme, D Kundur
2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016
Design and Development of AD-CGAN: Conditional Generative Adversarial Networks for Anomaly Detection
OM Ezeme, QH Mahmoud, A Azim
IEEE Access 8, 177667-177681, 2020
Anomaly Detection in Kernel-Level Process Events using Machine Learning-Based Context Analysis
OM Ezeme
University of Ontario Institute of Technology, 2020
A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing
OM Ezeme, QH Mahmoud, A Azim
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
Control verification via off-line co-simulation
M Ezeme, E Hammad, D Kundur
2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2016
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