Cover Image

Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jamshidi, Saeid, Khomh, Foutse, Nafi, Kawser Wazed, Nikanjam, Amin, Keivanpour, Samira, Abdul-Wahab, Omar, Bellaiche, Martine
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway
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)

Tri-LLM Cooperative Federated Zero-Shot Intrusion Detection with Semantic Disagreement and Trust-Aware Aggregation
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)

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)

Energy-Efficient Multi-LLM Reasoning for Binary-Free Zero-Day Detection in IoT Firmware
by: Jamshidi, Saeid, et al.
Published: (2025)

Adversarial Moral Stress Testing of Large Language Models
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)

Secure Tool Manifest and Digital Signing Solution for Verifiable MCP and LLM Pipelines
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)

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)

Multi-Agent LLM Governance for Safe Two-Timescale Reinforcement Learning in SDN-IoT Defense
by: Jamshidi, Saeid, et al.
Published: (2026)

Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
by: Majdinasab, Vahid, et al.
Published: (2024)

DeepCodeProbe: Towards Understanding What Models Trained on Code Learn
by: Majdinasab, Vahid, et al.
Published: (2024)

Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search
by: Majdinasab, Vahid, et al.
Published: (2025)

Fault Localization in Deep Learning-based Software: A System-level Approach
by: Morovati, Mohammad Mehdi, et al.
Published: (2024)

An Efficient Model Maintenance Approach for MLOps
by: Majidi, Forough, et al.
Published: (2024)

A Taxonomy of Inefficiencies in LLM-Generated Python Code
by: Abbassi, Altaf Allah, et al.
Published: (2025)

ReCatcher: Towards LLMs Regression Testing for Code Generation
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)

Data Cleaning and Machine Learning: A Systematic Literature Review
by: Côté, Pierre-Olivier, et al.
Published: (2023)

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
by: Taraghi, Mina, et al.
Published: (2025)

Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study
by: Morovati, Mohammad Mehdi, et al.
Published: (2023)

Continuously Learning Bug Locations
by: Mindom, Paulina Stevia Nouwou, et al.
Published: (2024)

Quality Issues in Machine Learning Software Systems
by: Côté, Pierre-Olivier, et al.
Published: (2023)

Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
by: Bouchoucha, Rached, et al.
Published: (2024)

A Secure Edge Gateway Architecture for Wi-Fi-Enabled IoT
by: Ganiuly, Daniyal, et al.
Published: (2025)

Securing the Future: Proactive Threat Hunting for Sustainable IoT Ecosystems
by: Ghasemshirazi, Saeid, et al.
Published: (2024)

Towards Sustainable IoT: Challenges, Solutions, and Future Directions for Device Longevity
by: Shirvani, Ghazaleh, et al.
Published: (2024)

Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
by: Humeniuk, Dmytro, et al.
Published: (2025)

Searching Neural Architectures for Sensor Nodes on IoT Gateways
by: Garavagno, Andrea Mattia, et al.
Published: (2025)

Machine Learning Robustness: A Primer
by: Braiek, Houssem Ben, et al.
Published: (2024)

Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway
by: Palmese, Fabio, et al.
Published: (2025)

SchEdge: A Dynamic, Multi-agent, and Scalable Scheduling Simulator for IoT Edge
by: Hamedi, Ali, et al.
Published: (2025)

On the Effectiveness of Log Representation for Log-based Anomaly Detection
by: Wu, Xingfang, et al.
Published: (2023)

GIST: Generated Inputs Sets Transferability in Deep Learning
by: Tambon, Florian, et al.
Published: (2023)

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
by: Humeniuk, Dmytro, et al.
Published: (2023)