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Mellitus Ezeme
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2020 – today
- 2022
- [j4]Okwudili M. Ezeme
, Qusay H. Mahmoud
A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes Using Kernel Traces. IEEE Trans. Knowl. Data Eng. 34(1): 1-14 (2022) - 2021
- [j3]Okwudili M. Ezeme
PESKEA: Anomaly Detection Framework for Profiling Kernel Event Attributes in Embedded Systems. IEEE Trans. Emerg. Top. Comput. 9(2): 957-971 (2021) - 2020
- [j2]Okwudili M. Ezeme
Design and Development of AD-CGAN: Conditional Generative Adversarial Networks for Anomaly Detection. IEEE Access 8: 177667-177681 (2020)
2010 – 2019
- 2019
- [j1]Mellitus O. Ezeme
DReAM: Deep Recursive Attentive Model for Anomaly Detection in Kernel Events. IEEE Access 7: 18860-18870 (2019) - [c6]Okwudili M. Ezeme
DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes. Canadian AI 2019: 549-555 - [c5]Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim:
A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing. ICMLA 2019: 992-999 - 2018
- [c4]Mellitus O. Ezeme, Qusay H. Mahmoud, Akramul Azim:
Hierarchical Attention-Based Anomaly Detection Model for Embedded Operating Systems. RTCSA 2018: 225-231 - 2017
- [c3]Mellitus Ezeme, Akramul Azim, Qusay H. Mahmoud:
An Imputation-based Augmented Anomaly Detection from Large Traces of Operating System Events. BDCAT 2017: 43-52 - 2016
- [c2]Mellitus Ezeme, Eman M. Hammad
Control verification via off-line co-simulation. CCECE 2016: 1-4 - [c1]Eman M. Hammad
Implementation of an Offline Co-Simulation Test-Bed for Cyber Security and Control Verification. GLOBECOM Workshops 2016: 1-6
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