Saeid Jamshidi
Orcid: 0000-0003-1612-529X
According to our database1,
Saeid Jamshidi authored at least 22 papers
between 2024 and 2026.
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Bibliography
2026
CoRR, May, 2026
Multi-Agent LLM Governance for Safe Two-Timescale Reinforcement Learning in SDN-IoT Defense.
CoRR, April, 2026
Tri-LLM Cooperative Federated Zero-Shot Intrusion Detection with Semantic Disagreement and Trust-Aware Aggregation.
CoRR, February, 2026
Securing Time in Energy IoT: A Clock-Dynamics-Aware Spatio-Temporal Graph Attention Network for Clock Drift Attacks and Y2K38 Failures.
CoRR, January, 2026
Secure Tool Manifest and Digital Signing Solution for Verifiable MCP and LLM Pipelines.
CoRR, January, 2026
Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway.
IEEE Internet Things J., 2026
2025
Energy-Efficient Multi-LLM Reasoning for Binary-Free Zero-Day Detection in IoT Firmware.
CoRR, December, 2025
Securing the Model Context Protocol: Defending LLMs Against Tool Poisoning and Adversarial Attacks.
CoRR, December, 2025
The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models.
CoRR, December, 2025
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways.
CoRR, November, 2025
Lightweight Autoencoder-Isolation Forest Anomaly Detection for Green IoT Edge Gateways.
CoRR, November, 2025
Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway.
CoRR, November, 2025
Understanding the impact of IoT security patterns on CPU usage and energy consumption: a dynamic approach for selecting patterns with deep reinforcement learning.
Int. J. Inf. Sec., April, 2025
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things.
CoRR, April, 2025
Self-adaptive cyber defense for sustainable IoT: A DRL-based IDS optimizing security and energy efficiency.
J. Netw. Comput. Appl., 2025
The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities.
Internet Things, 2025
Application of deep reinforcement learning for intrusion detection in Internet of Things: A systematic review.
Internet Things, 2025
Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption.
Comput. Ind. Eng., 2025
Deep Reinforcement Learning-Based Intrusion Detection System: Defending Edge Gateways Against Mirai and Gafgyt.
Proceedings of the 12th International Conference on Future Internet of Things and Cloud, 2025
Proceedings of the IEEE International Conference on Software Services Engineering, 2025
2024
Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning.
Proceedings of the 15th International Conference on Ambient Systems, 2024