48 citations · 81 across the 5 of their papers we have counts for
6 papers
Tri-LLM Cooperative Federated Zero-Shot Intrusion Detection with Semantic Disagreement and Trust-Aware Aggregation
Saeid Jamshidi, Omar Abdul Wahab, Foutse Khomh +1
Federated learning (FL) has become an effective paradigm for privacy-preserving, distributed Intrusion Detection Systems (IDS) in cyber-physical and Internet of Things (IoT) networ…
The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models
Saeid Jamshidi, Kawser Wazed Nafi, Arghavan Moradi Dakhel +2
The rapid advancement and adaptability of Large Language Models (LLMs) highlight the need for moral consistency, the capacity to maintain ethically coherent reasoning across varied…
Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway
Saeid Jamshidi, Amin Nikanjam, Negar Shahabi +4
As the number of connected IoT devices continues to grow, securing these systems against cyber threats remains a major challenge, especially in environments with limited computatio…
Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review
Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi +2
The Internet of Things (IoT) has significantly expanded the digital landscape, interconnecting an unprecedented array of devices, from home appliances to industrial equipment. This…
Evaluating Machine Learning-Driven Intrusion Detection Systems in IoT: Performance and Energy Consumption
Saeid Jamshidi, Kawser Wazed Nafi, Amin Nikanjam +1
In the evolving landscape of the Internet of Things (IoT), Machine Learning (ML)-based Intrusion Detection Systems (IDS) represent a significant advancement, especially when integr…
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things
Saeid Jamshidi, Amin Nikanjam, Nafi Kawser Wazed +1
As the Internet of Things (IoT) continues to expand, ensuring the security of connected devices has become increasingly critical. Traditional Intrusion Detection Systems (IDS) ofte…