Saeid Jamshidi

Orcid: 0000-0003-1612-529X

According to our database1, Saeid Jamshidi authored at least 22 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems.
CoRR, May, 2026

Multi-Agent LLM Governance for Safe Two-Timescale Reinforcement Learning in SDN-IoT Defense.
CoRR, April, 2026

Adversarial Moral Stress Testing of Large Language Models.
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

A Dynamic Security Pattern Selection Framework Using Deep Reinforcement Learning.
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


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