Love Allen Chijioke Ahakonye
Orcid: 0000-0003-2840-1693
According to our database1,
Love Allen Chijioke Ahakonye authored at least 58 papers
between 2021 and 2026.
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Bibliography
2026
PureTrust: A Soulbound Token-Based Blockchain Framework for Incentive-Driven Trust Management in V2X Networks.
IEEE Internet Things J., 2026
Optimized Blockchain Consensus for Secure and Scalable Routing in 6G Nonterrestrial and Terrestrial IoT Networks.
IEEE Internet Things J., 2026
IEEE Internet Things J., 2026
A Unified AI-PureChain Framework for Verifiable Intrusion Prevention in Industrial IoT Systems.
IEEE Internet Things J., 2026
Integrated Blockchain and Machine Learning Framework for Polystyrene Waste Traceability.
Proceedings of the IEEE International Conference on Consumer Electronics, 2026
Adaptive ML-Driven Detection and Defense Against Side-Channel Attacks in Blockchain Consensus Networks.
Proceedings of the IEEE International Conference on Consumer Electronics, 2026
Round-Level Consensus for Energy-Efficient Federated Learning in Software-Defined Vehicles.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
PC-CDS: Real-Time Secure Authentication and Intelligent Steering for Hybrid TN-NTN Networks.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
Quantum-Infused Deep Reinforcement Learning for Intrusion Detection in Surveillance Autonomous Vehicles.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
Purechain-Enabled Asymmetric Temporal Knowledge Transfer for Scalable Energy Forecasting.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
Semi-Supervised Learning and Blockchain Integration for Transparent Smart Contract Security.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
MilitaryChain: Blockchain Routing Protocol in 6G Military Networks Using Cryptographic Addresses.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
Secure Federated Learning for Real-Time Cyber Threat Detection in EV Charging Infrastructures.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
ClaimGuard: A Blockchain-Backed Access Control Gateway for Privacy-Preservation in Auto-Insurance Claims.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
Benchmarking CNN Components in EZKL: A Layer-Level Analysis for EVM-Compatible Deployment.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
Integrating XAI and Blockchain to Enhance Security and Resilience in Industrial Operations.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
2025
Blockchain-Augmented FL IDS for Non-IID Edge-IoT Data Using Adaptive Trimmed Mean Aggregation.
IEEE Internet Things J., November, 2025
Blockchain-Enhanced Feature Engineered Data Falsification Detection in 6G In-Vehicle Networks.
IEEE Internet Things J., 2025
Proceedings of the IEEE International Conference on Consumer Electronics, 2025
Homomorphic Encryption for Privacy-Preserving Misbehavior Detection in the Internet of Vehicles.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2025
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2025
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2025
Proceedings of the 9th International Conference on Algorithms, Computing and Systems, 2025
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025
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