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Mellitus Ezeme

Mellitus O. Ezeme – Okwudili M. Ezeme

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2020 – today

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2022
[j4]
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Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim:
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
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Okwudili M. Ezeme, Akramul Azim, Qusay H. Mahmoud:
PESKEA: Anomaly Detection Framework for Profiling Kernel Event Attributes in Embedded Systems. IEEE Trans. Emerg. Top. Comput. 9(2): 957-971 (2021)
2020
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Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim:
Design and Development of AD-CGAN: Conditional Generative Adversarial Networks for Anomaly Detection. IEEE Access 8: 177667-177681 (2020)

2010 – 2019

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2019
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Mellitus O. Ezeme, Qusay H. Mahmoud, Akramul Azim:
DReAM: Deep Recursive Attentive Model for Anomaly Detection in Kernel Events. IEEE Access 7: 18860-18870 (2019)
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Okwudili M. Ezeme, Michael Lescisin, Qusay H. Mahmoud, Akramul Azim:
DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes. Canadian AI 2019: 549-555
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Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim:
A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing. ICMLA 2019: 992-999
2018
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Mellitus O. Ezeme, Qusay H. Mahmoud, Akramul Azim:
Hierarchical Attention-Based Anomaly Detection Model for Embedded Operating Systems. RTCSA 2018: 225-231
2017
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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
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Mellitus Ezeme, Eman M. Hammad, Deepa Kundur:
Control verification via off-line co-simulation. CCECE 2016: 1-4
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Eman M. Hammad, Mellitus Ezeme, Deepa Kundur:
Implementation of an Offline Co-Simulation Test-Bed for Cyber Security and Control Verification. GLOBECOM Workshops 2016: 1-6

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