Cover Image

Adversarial Attacks and Defenses in 6G Network-Assisted IoT Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Son, Bui Duc, Hoa, Nguyen Tien, Van Chien, Trinh, Khalid, Waqas, Ferrag, Mohamed Amine, Choi, Wan, Debbah, Merouane
Format:	Preprint
Published:	2024
Subjects:	Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

How Small Can 6G Reason? Scaling Tiny Language Models for AI-Native Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

$α^3$-Bench: A Unified Benchmark of Safety, Robustness, and Efficiency for LLM-Based UAV Agents over 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

$α^3$-SecBench: A Large-Scale Evaluation Suite of Security, Resilience, and Trust for LLM-based UAV Agents over 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

Secure Distributed RIS-MIMO over Double Scattering Channels: Adversarial Attack, Defense, and SER Improvement
by: Son, Bui Duc, et al.
Published: (2025)

UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarios
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

Reasoning Beyond Limits: Advances and Open Problems for LLMs
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

LIDSA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management
by: Lakas, Abderrahmane, et al.
Published: (2026)

AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

Adversarial Attacks Against Double RIS-Assisted MIMO Systems-based Autoencoder in Finite-Scattering Environments
by: Son, Bui Duc, et al.
Published: (2024)

VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
by: Lakas, Mohamed, et al.
Published: (2026)

Trustworthy GenAI over 6G: Integrated Applications and Security Frameworks
by: Son, Bui Duc, et al.
Published: (2025)

Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge
by: Tihanyi, Norbert, et al.
Published: (2024)

Graph Neural Networks for Next-Generation-IoT: Recent Advances and Open Challenges
by: Tung, Nguyen Xuan, et al.
Published: (2024)

Single- and Multi-Objective Stochastic Optimization for Next-Generation Networks in the Generative AI and Quantum Computing Era
by: Van Chien, Trinh, et al.
Published: (2026)

Optimal Operation of Active RIS-Aided Wireless Powered Communications in IoT Networks
by: Khalid, Waqas, et al.
Published: (2024)

Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

Cyberscurity Threats and Defense Mechanisms in IoT network
by: Dao, Trung, et al.
Published: (2026)

Graph Neural Network based Active and Passive Beamforming for Distributed STAR-RIS-Assisted Multi-User MISO Systems
by: Le, Ha An, et al.
Published: (2024)

Q-Learning-Based Time-Critical Data Aggregation Scheduling in IoT
by: Vo, Van-Vi, et al.
Published: (2025)

Impact of RIS on Outage Probability and Ergodic Rate in Wireless Powered Communication
by: Khalid, Waqas, et al.
Published: (2024)

Distributed Q-learning-based Shortest-Path Tree Construction in IoT Sensor Networks
by: Vo, Van-Vi, et al.
Published: (2025)

Jointly Optimizing Power Allocation and Device Association for Robust IoT Networks under Infeasible Circumstances
by: Tung, Nguyen Xuan, et al.
Published: (2024)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
by: Ferrag, Mohamed Amine, et al.
Published: (2024)

Network-Assisted Full-Duplex Cell-Free Massive MIMO Systems Under Infeasible Circumstances
by: Van Chien, Trinh, et al.
Published: (2026)

Generative AI for RF Sensing in IoT systems
by: Wang, Li, et al.
Published: (2024)

Secrecy Offloading Analysis of UAV-assisted NOMA-MEC Incorporating WPT in IoT Networks
by: Nguyen, Gia-Huy, et al.
Published: (2025)

Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling
by: Trung, Bui The, et al.
Published: (2026)

Ultrasound‐Assisted Processing for Improved Texture and Nutrient Retention in Dragon Fruit and Banana Ice Cream
by: Pham Van Thinh, et al.
Published: (2025)

Active and Passive Beamforming Designs for SER Minimization in RIS-Assisted MIMO Systems
by: Van Chien, Trinh, et al.
Published: (2024)

Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
by: Jain, Ridhi, et al.
Published: (2024)

Advanced Anomaly Detection and Threat Intelligence in Zero Trust IoT Environments Using Machine Learning
by: Basharat, Muhammad Umair, et al.
Published: (2026)

Joint Power Allocation and User Scheduling in Integrated Satellite-Terrestrial Cell-Free Massive MIMO IoT Systems
by: Van Chien, Trinh, et al.
Published: (2024)

GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models
by: Loumachi, Fatma Yasmine, et al.
Published: (2024)

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
by: Manh, Bui Duc, et al.
Published: (2024)

SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
by: Waqas, Ali, et al.
Published: (2025)