Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway
Fuente:
arXiv
Saved in:
| Main Authors: | Jamshidi, Saeid, Nikanjam, Amin, Shahabi, Negar, Nafi, Kawser Wazed, Khomh, Foutse, Keivanpour, Samira, Herrero, Rolando |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Evaluating Machine Learning-Driven Intrusion Detection Systems in IoT: Performance and Energy Consumption
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems
by: Jamshidi, Saeid, et al.
Published: (2026)
by: Jamshidi, Saeid, et al.
Published: (2026)
The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Tri-LLM Cooperative Federated Zero-Shot Intrusion Detection with Semantic Disagreement and Trust-Aware Aggregation
by: Jamshidi, Saeid, et al.
Published: (2026)
by: Jamshidi, Saeid, et al.
Published: (2026)
Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Adversarial Moral Stress Testing of Large Language Models
by: Jamshidi, Saeid, et al.
Published: (2026)
by: Jamshidi, Saeid, et al.
Published: (2026)
Secure Tool Manifest and Digital Signing Solution for Verifiable MCP and LLM Pipelines
by: Jamshidi, Saeid, et al.
Published: (2026)
by: Jamshidi, Saeid, et al.
Published: (2026)
Multi-Agent LLM Governance for Safe Two-Timescale Reinforcement Learning in SDN-IoT Defense
by: Jamshidi, Saeid, et al.
Published: (2026)
by: Jamshidi, Saeid, et al.
Published: (2026)
Lightweight Autoencoder-Isolation Forest Anomaly Detection for Green IoT Edge Gateways
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Securing Time in Energy IoT: A Clock-Dynamics-Aware Spatio-Temporal Graph Attention Network for Clock Drift Attacks and Y2K38 Failures
by: Jamshidi, Saeid, et al.
Published: (2026)
by: Jamshidi, Saeid, et al.
Published: (2026)
Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search
by: Majdinasab, Vahid, et al.
Published: (2025)
by: Majdinasab, Vahid, et al.
Published: (2025)
Energy-Efficient Multi-LLM Reasoning for Binary-Free Zero-Day Detection in IoT Firmware
by: Jamshidi, Saeid, et al.
Published: (2025)
by: Jamshidi, Saeid, et al.
Published: (2025)
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
by: Majdinasab, Vahid, et al.
Published: (2024)
by: Majdinasab, Vahid, et al.
Published: (2024)
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn
by: Majdinasab, Vahid, et al.
Published: (2024)
by: Majdinasab, Vahid, et al.
Published: (2024)
Fault Localization in Deep Learning-based Software: A System-level Approach
by: Morovati, Mohammad Mehdi, et al.
Published: (2024)
by: Morovati, Mohammad Mehdi, et al.
Published: (2024)
ReCatcher: Towards LLMs Regression Testing for Code Generation
by: Abbassi, Altaf Allah, et al.
Published: (2025)
by: Abbassi, Altaf Allah, et al.
Published: (2025)
An Efficient Model Maintenance Approach for MLOps
by: Majidi, Forough, et al.
Published: (2024)
by: Majidi, Forough, et al.
Published: (2024)
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
by: Taraghi, Mina, et al.
Published: (2025)
by: Taraghi, Mina, et al.
Published: (2025)
A Taxonomy of Inefficiencies in LLM-Generated Python Code
by: Abbassi, Altaf Allah, et al.
Published: (2025)
by: Abbassi, Altaf Allah, et al.
Published: (2025)
TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models
by: Tambon, Florian, et al.
Published: (2024)
by: Tambon, Florian, et al.
Published: (2024)
Data Cleaning and Machine Learning: A Systematic Literature Review
by: Côté, Pierre-Olivier, et al.
Published: (2023)
by: Côté, Pierre-Olivier, et al.
Published: (2023)
Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study
by: Morovati, Mohammad Mehdi, et al.
Published: (2023)
by: Morovati, Mohammad Mehdi, et al.
Published: (2023)
Continuously Learning Bug Locations
by: Mindom, Paulina Stevia Nouwou, et al.
Published: (2024)
by: Mindom, Paulina Stevia Nouwou, et al.
Published: (2024)
DLB ‐ IoT IDS : Deep Learning and Blockchain Based IoT Intrusion Detection and Prevention System
by: Vaishali Soni, et al.
Published: (2026)
by: Vaishali Soni, et al.
Published: (2026)
IoT Distributed Intelligence Project
by: Herrero, Rolando
Published: (2025)
by: Herrero, Rolando
Published: (2025)
Quality Issues in Machine Learning Software Systems
by: Côté, Pierre-Olivier, et al.
Published: (2023)
by: Côté, Pierre-Olivier, et al.
Published: (2023)
Coarse and fine feature selection for Network Intrusion Detection Systems (IDS) in IoT networks
by: Mohammed Sayeeduddin Habeeb, et al.
Published: (2024)
by: Mohammed Sayeeduddin Habeeb, et al.
Published: (2024)
Blockchain and Deep Learning-Based IDS for Securing SDN-Enabled Industrial IoT Environments
by: Poorazad, Samira Kamali, et al.
Published: (2023)
by: Poorazad, Samira Kamali, et al.
Published: (2023)
Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)
by: Tambon, Florian, et al.
Published: (2024)
MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
by: Islam, Md Shamimul, et al.
Published: (2026)
by: Islam, Md Shamimul, et al.
Published: (2026)
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
by: Bouchoucha, Rached, et al.
Published: (2024)
by: Bouchoucha, Rached, et al.
Published: (2024)
A Secure Edge Gateway Architecture for Wi-Fi-Enabled IoT
by: Ganiuly, Daniyal, et al.
Published: (2025)
by: Ganiuly, Daniyal, et al.
Published: (2025)
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
by: Humeniuk, Dmytro, et al.
Published: (2025)
by: Humeniuk, Dmytro, et al.
Published: (2025)
Enhanced Protection for IoT System With Intelligent Swift Scan Quantum‐Resilient Intrusion Detection System ( ISS ‐ QR ‐ IDS )
by: K. Vinay Bharadwaj, et al.
Published: (2026)
by: K. Vinay Bharadwaj, et al.
Published: (2026)
LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges
by: Da Silva, Leuson, et al.
Published: (2024)
by: Da Silva, Leuson, et al.
Published: (2024)
Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
by: Akif, Md Ahnaf, et al.
Published: (2025)
by: Akif, Md Ahnaf, et al.
Published: (2025)
Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy
by: Taraghi, Mina, et al.
Published: (2026)
by: Taraghi, Mina, et al.
Published: (2026)
Similar Items
-
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways
by: Jamshidi, Saeid, et al.
Published: (2025) -
Evaluating Machine Learning-Driven Intrusion Detection Systems in IoT: Performance and Energy Consumption
by: Jamshidi, Saeid, et al.
Published: (2025) -
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things
by: Jamshidi, Saeid, et al.
Published: (2025) -
Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review
by: Jamshidi, Saeid, et al.
Published: (2025) -
Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems
by: Jamshidi, Saeid, et al.
Published: (2026)