Saeid Sheikhi
Orcid: 0000-0002-3600-966X
According to our database1,
Saeid Sheikhi authored at least 26 papers
between 2019 and 2026.
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Bibliography
2026
CoRR, May, 2026
ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks.
CoRR, April, 2026
Chain of Simulation: A Dual-Mode Reasoning Framework for Large Language Models with Dynamic Problem Routing.
CoRR, February, 2026
Hybrid Reputation Aggregation: A Robust Defense Mechanism for Adversarial Federated Learning in 5G and Edge Network Environments.
IEEE Open J. Commun. Soc., 2026
Beyond the Leaderboard: A Survey of the Science of Evaluation, Benchmarking, and Methodologies for Large Language Models.
IEEE Access, 2026
2025
An Empirical Evaluation of AI-Powered Non-Player Characters' Perceived Realism and Performance in Virtual Reality Environments.
CoRR, July, 2025
IEEE Access, 2025
Federated Variational Autoencoders for Unsupervised Anomaly Detection in Distributed 5G Networks.
Proceedings of the International Conference on Software, 2025
FedDTKG: Federated Temporal Graph Learning with Adaptive Loss for Robust 5G Attack Detection under Extreme Class Imbalance.
Proceedings of the International Conference on Modeling, 2025
Balancing Latency and Energy: A Hybrid Geometric Method for Leader Drone Positioning in IoT-Enabled Smart Cities.
Proceedings of the 2025 International Conference on Networking, 2025
A Feature-Aware Federated Learning Framework for Unsupervised Anomaly Detection in 5G Networks.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2025
SLMFORGE: Small Language Models for Federated Feature Selection via Union Aggregation in Cybersecurity.
Proceedings of the IEEE International Conference on Big Data, 2025
Cognitive SOC: Evidence-Backed Narrative Generation for Security Operations with Multi-Agent LLM Architecture.
Proceedings of the IEEE International Conference on Big Data, 2025
2024
Safeguarding cyberspace: Enhancing malicious website detection with PSO optimized XGBoost and firefly-based feature selection.
Comput. Secur., 2024
Advancing Security in 5G Core Networks Through Unsupervised Federated Time Series Modeling.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024
Effective Anomaly Detection in 5G Networks via Transformer-Based Models and Contrastive Learning.
Proceedings of the 8th Cyber Security in Networking Conference, 2024
2023
Autonomous Federated Learning for Distributed Intrusion Detection Systems in Public Networks.
IEEE Access, 2023
Comparing Deep Learning Based Image Processing Techniques for Unsupervised Anomaly Detection in Offshore Wind Turbines.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023
DDoS attack detection using unsupervised federated learning for 5G networks and beyond.
Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023
Hack the Room: Exploring the potential of an augmented reality game for teaching cyber security.
Proceedings of the Augmented Humans International Conference 2023, 2023
2022
A Novel Anomaly-Based Intrusion Detection Model Using PSOGWO-Optimized BP Neural Network and GA-Based Feature Selection.
Sensors, 2022
2021
An effective fake news detection method using WOA-xgbTree algorithm and content-based features.
Appl. Soft Comput., 2021
2020
Rev. d'Intelligence Artif., 2020
2019
Method for replica selection in the Internet of Things using a hybrid optimisation algorithm.
IET Commun., 2019