Love Allen Chijioke Ahakonye
Orcid: 0000-0003-2840-1693
According to our database1,
Love Allen Chijioke Ahakonye
authored at least 31 papers
between 2021 and 2024.
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Bibliography
2024
Machine Learning Explainability for Intrusion Detection in the Industrial Internet of Things.
IEEE Internet Things Mag., May, 2024
Trees Bootstrap Aggregation for Detection and Characterization of IoT-SCADA Network Traffic.
IEEE Trans. Ind. Informatics, April, 2024
Low computational cost convolutional neural network for smart grid frequency stability prediction.
Internet Things, April, 2024
Classification and characterization of encoded traffic in SCADA network using hybrid deep learning scheme.
J. Commun. Networks, 2024
Internet Things, 2024
ICT Express, 2024
Resource-Aware Adaptive Federated Learning for Enhanced DDoS Detection in Vehicular Ad Hoc Networks.
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
Roadmap for Integrating Open RAN and AI for Intrusion Detection Systems in 6G Networks.
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
2023
An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks.
IEEE Internet Things J., May, 2023
SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection.
Internet Things, April, 2023
Dataset, January, 2023
Agnostic CH-DT Technique for SCADA Network High-Dimensional Data-Aware Intrusion Detection System.
IEEE Internet Things J., 2023
Proceedings of the IEEE International Conference on Communications, 2023
Statistical Process Routing Optimization in the Product Line for Industrial Internet of Things.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
Carbon-Credit Monitoring and Prediction in Smart Factory using Explainable AI and Data Analytics.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
X-HDNN: Explainable Hybrid DNN for Industrial Internet of Things Backdoor Attack Detection.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
B-DT: A Bagged-Decision Tree Detection and Characterization of the IoT-SCADA Network Communication Traffic.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023
Optimal Tree Bayesian for the Characterization of Ciphered Network Communication Traffic.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023
Coarse Tree Algorithm-Based Detection of Unstructured Cyber-Attacks in Oil and Gas Process Control Networks.
Proceedings of the IEEE AFRICON 2023, Nairobi, Kenya, September 20-22, 2023, 2023
2022
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022
RQGPR: Rational Quadratic Gaussian Process Regression for Attack Detection in the SCADA Networks.
Proceedings of the 27th Asia Pacific Conference on Communications, 2022
2021
Efficient Classification of Enciphered SCADA Network Traffic in Smart Factory Using Decision Tree Algorithm.
IEEE Access, 2021
Selecting Gaussian Process Regression Kernels for IoT Intrusion Detection and Classification.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
Real-Time Monitoring of COVID-19 Vaccination Compliance: A Ubiquitous IT Convergence Approach.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
Enhanced Vulnerability Detection in SCADA Systems using Hyper-Parameter-Tuned Ensemble Learning.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021