Copertina

CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rahman, Md Sazedur, Elmahallawy, Mohamed, Madria, Sanjay, Frimpong, Samuel
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations
di: Rahman, Md Sazedur, et al.
Pubblicazione: (2025)

Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety
di: Elmahallawy, Mohamed, et al.
Pubblicazione: (2025)

Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection
di: Gul, Shreen, et al.
Pubblicazione: (2026)

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines
di: Jewel, Mizanur Rahman, et al.
Pubblicazione: (2024)

Explaining the Unseen: Multimodal Vision-Language Reasoning for Situational Awareness in Underground Mining Disasters
di: Jewel, Mizanur Rahman, et al.
Pubblicazione: (2025)

LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
di: Gul, Shreen, et al.
Pubblicazione: (2024)

Future Mining: Learning for Safety and Security
di: Rahman, Md Sazedur, et al.
Pubblicazione: (2026)

Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV
di: An, Haonan, et al.
Pubblicazione: (2024)

CAV-AHDV-CAV: Mitigating Traffic Oscillations for CAVs through a Novel Car-Following Structure and Reinforcement Learning
di: Chen, Xianda, et al.
Pubblicazione: (2024)

SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment
di: Sapkota, Ganesh, et al.
Pubblicazione: (2025)

Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X Data
di: Kherroubi, Zine el abidine
Pubblicazione: (2024)

Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning
di: Cheng, Xiang, et al.
Pubblicazione: (2024)

Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment
di: Sapkota, Ganesh, et al.
Pubblicazione: (2024)

FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
di: Gul, Shreen, et al.
Pubblicazione: (2024)

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
di: Schmalwasser, Laines, et al.
Pubblicazione: (2025)

Safe and Efficient CAV Lane Changing using Decentralised Safety Shields
di: Hegde, Bharathkumar, et al.
Pubblicazione: (2025)

HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
di: Zhang, Ziyan, et al.
Pubblicazione: (2026)

A Collaborative Safety Shield for Safe and Efficient CAV Lane Changes in Congested On-Ramp Merging
di: Hegde, Bharathkumar, et al.
Pubblicazione: (2026)

Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: The Next Frontier for Intelligent Safe Driving Assessment
di: Xia, Le, et al.
Pubblicazione: (2021)

Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
di: Sheng, Zihao, et al.
Pubblicazione: (2024)

Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM
di: Elmahallawy, Mohamed, et al.
Pubblicazione: (2024)

Dynamic Road Management in the Era of CAV
di: Younis, Mohamed, et al.
Pubblicazione: (2024)

A Graph-Attentive LSTM Model for Malicious URL Detection
di: Hossain, Md. Ifthekhar, et al.
Pubblicazione: (2025)

Hierarchical Sentiment Analysis Framework for Hate Speech Detection: Implementing Binary and Multiclass Classification Strategy
di: Naznin, Faria, et al.
Pubblicazione: (2024)

A Joint Topology-Data Fusion Graph Network for Robust Traffic Speed Prediction with Data Anomalism
di: Jiang, Ruiyuan, et al.
Pubblicazione: (2025)

Learning What Can Be Picked: Active Reachability Estimation for Efficient Robotic Fruit Harvesting
di: Syeda, Nur Afsa, et al.
Pubblicazione: (2026)

False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning
di: Uddin, Md Raihan, et al.
Pubblicazione: (2024)

Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN
di: Muttakin, Md Nurul, et al.
Pubblicazione: (2022)

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills
di: Hou, Yinghan, et al.
Pubblicazione: (2026)

SafePickle: Robust and Generic ML Detection of Malicious Pickle-based ML Models
di: Ohayon, Hillel, et al.
Pubblicazione: (2026)

Learning Robust Representations for Malicious Content Detection via Contrastive Sampling and Uncertainty Estimation
di: Hossain, Elias, et al.
Pubblicazione: (2025)

MULTI-LF: A Continuous Learning Framework for Real-Time Malicious Traffic Detection in Multi-Environment Networks
di: Rustam, Furqan, et al.
Pubblicazione: (2025)

Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
di: Dasgupta, Sagar, et al.
Pubblicazione: (2024)

On the Constrained CAV Platoon Control Problem
di: Bahavarnia, MirSaleh, et al.
Pubblicazione: (2024)

Slum‐Based CAV Networks: Networking in Unyielding Poverty Situations
di: Amon Simba, et al.
Pubblicazione: (2025)

The Laminar Flow Hypothesis: Detecting Jailbreaks via Semantic Turbulence in Large Language Models
di: Rahman, Md. Hasib Ur
Pubblicazione: (2025)

Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent
di: Shang, Shang, et al.
Pubblicazione: (2024)

FUSED-Net: Detecting Traffic Signs with Limited Data
di: Rahman, Md. Atiqur, et al.
Pubblicazione: (2024)

Group-Adaptive Adversarial Learning for Robust Fake News Detection Against Malicious Comments
di: Tong, Zhao, et al.
Pubblicazione: (2025)

OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
di: Wang, Chen, et al.
Pubblicazione: (2024)