Abdelaziz Amara Korba

Orcid: 0000-0001-7605-4660

According to our database1, Abdelaziz Amara Korba authored at least 39 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs.
CoRR, May, 2026

DARTIC: Decentralized Anonymous Reputation at Scale for Trustworthy Crowdsourcing.
CoRR, May, 2026

LLM-assisted end-to-end binary decompilation: a hierarchical generation and semantic reconstruction approach.
J. Supercomput., April, 2026

Split Multi-Task Federated Learning for Battery Health and Capacity Estimation in Electric Vehicles.
IEEE Trans. Consumer Electron., February, 2026

Towards better random forests with tree weighting, accuracy and diversity-preserving pruning.
Expert Syst. Appl., 2026

Collaborative privacy-preserving network intrusion detection: A federated multi-agent reinforcement learning approach.
Comput. Commun., 2026

User-Centric Phishing Detection: A RAG and LLM-Based Approach.
Proceedings of the IEEE International Conference on Consumer Electronics, 2026

Mining Network Traffic to Detect Botnet Attacks in Consumer IoT.
Proceedings of the 17th International Conference on Ambient Systems, 2026

A Resilient Genetic-centric Aggregation for Hierarchical Federated Learning against Scaling Attacks.
Proceedings of the 17th International Conference on Ambient Systems, 2026

2025
Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics.
CoRR, September, 2025

A genetic and graph-guided feature learning strategy for improving decision tree construction.
Clust. Comput., September, 2025

Mitigating IoT botnet attacks: An early-stage explainable network-based anomaly detection approach.
Comput. Commun., 2025

Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning.
Proceedings of the IEEE Symposium on Computers and Communications, 2025

Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization.
Proceedings of the IEEE Symposium on Computers and Communications, 2025

BotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains.
Proceedings of the IEEE International Conference on Communications, 2025

Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV.
IEEE Trans. Veh. Technol., September, 2024

Multi-agent Reinforcement Learning-based Network Intrusion Detection System.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

A Life-long Learning Intrusion Detection System for 6G-Enabled IoV.
Proceedings of the International Wireless Communications and Mobile Computing, 2024

AI-Driven Fast and Early Detection of IoT Botnet Threats: A Comprehensive Network Traffic Analysis Approach.
Proceedings of the International Wireless Communications and Mobile Computing, 2024

BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Beyond Detection: Leveraging Large Language Models for Cyber Attack Prediction in IoT Networks.
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

2023
Accuracy and diversity-aware multi-objective approach for random forest construction.
Expert Syst. Appl., September, 2023

5G Vehicle-to-Everything at the Cross-Borders: Security Challenges and Opportunities.
IEEE Internet Things Mag., March, 2023

Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Privacy Preserving Advanced Persistent Threat Detection Using Fed-Adv-LSTM.
Proceedings of the Bio-Inspired Computing, 2023

Reinforcement Learning-Based Security Orchestration for 5G-V2X Network Slicing at Cross-Borders.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Fog Computing-Based Intrusion Detection Architecture to Protect IoT Networks.
Wirel. Pers. Commun., 2022

AntibotV: A Multilevel Behaviour-Based Framework for Botnets Detection in Vehicular Networks.
J. Netw. Syst. Manag., 2022

2021
Detecting DDoS Attacks in IoT Environment.
Int. J. Inf. Secur. Priv., 2021

2020
Towards the Development of Realistic DoS Dataset for Intelligent Transportation Systems.
Wirel. Pers. Commun., 2020

Anomaly-based framework for detecting power overloading cyberattacks in smart grid AMI.
Comput. Secur., 2020

2018
Taxonomy of Biometric-based Authentication Schemes for Mobile Computing Devices.
Proceedings of the 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2018

Energy Fraud Detection in Advanced Metering Infrastructure AMI.
Proceedings of the 7th International Conference on Software Engineering and New Technologies, 2018

2016
An efficient intrusion detection and prevention framework for ad hoc networks.
Inf. Comput. Secur., 2016

Hybrid Intrusion Detection Framework for Ad hoc networks.
Int. J. Inf. Secur. Priv., 2016

Anomaly-based intrusion detection system for ad hoc networks.
Proceedings of the 7th International Conference on the Network of the Future, 2016

2014
Analysis of security attacks in AODV.
Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014

2013
Survey of Routing Attacks and Countermeasures in Mobile Ad Hoc Networks.
Proceedings of the 15th International Conference on Computer Modelling and Simulation, 2013


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