GNN-RL: Dynamic Reward Mechanism for Connected Vehicle Security using Graph Neural Networks and Reinforcement Learning
H Rathore, H Griffith - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
This paper introduces a new approach to incentivise the vehicles in connected vehicle (CV)
networks based on the reputation measures along with a combination of graph neural …
networks based on the reputation measures along with a combination of graph neural …
Anomaly diagnosis of connected autonomous vehicles: A survey
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …
transportation due to their potential to improve transportation performance in many ways …
Leveraging Neuro-Inspired Reinforcement Learning for Secure Reputation-based Communication in Connected Vehicles
H Rathore, H Griffith - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Secure communications in connected vehicles (CV) is essential to ensure the safety of
drivers, passengers and pedestrians. As vehicles are becoming more connected and …
drivers, passengers and pedestrians. As vehicles are becoming more connected and …
Smart Contract-Based Right-of-Way Trade with Game Theory in Blockchain-Enabled Internet of Vehicles
C Li, H Wu, Y Lu, L Xiong, C Dong, J Li - Applied Sciences, 2024 - mdpi.com
The Internet of Vehicles (IoV) has a significant impact on improving traffic efficiency and
driving safety. In this paper, we propose an intelligent transportation credit system based on …
driving safety. In this paper, we propose an intelligent transportation credit system based on …
Social Psychology Inspired Reinforcement Learning Framework for Conflict Management in Connected Vehicles
H Rathore, YK Singhal… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In any connected network, resource scarcity, perceived road blocks, and incongruent
objectives can potentially ensue conflicts among stakeholders. In the existing literature, trust …
objectives can potentially ensue conflicts among stakeholders. In the existing literature, trust …
Poster: Opinion Dynamics for Enhancing Trust and Security in Connected Vehicle Networks
Connected vehicles (CVs) offer enhanced safety features and improved traffic management
capabilities but face a critical concern---vulnerability to malicious attacks due to …
capabilities but face a critical concern---vulnerability to malicious attacks due to …
Avoiding False Social Conformity in Majority-Malicious Connected Vehicle Networks Employing Consensus-Based Reputation Estimates
Connected Vehicles (CVs) utilize real-time data exchange between vehicles and
infrastructure to empower cooperative decision-making. This reliance on exchanged data …
infrastructure to empower cooperative decision-making. This reliance on exchanged data …
A Multi-Level Dempster-Shafer and Reinforcement Learning-Based Reputation System for Connected Vehicle Security
PC Jasti, H Griffith, H Rathore - 2024 IEEE 21st Consumer …, 2024 - ieeexplore.ieee.org
Data falsification attack in connected vehicles (CV) refer to the manipulation or alteration of
data within the vehicle's communication systems. This paper discusses the critical …
data within the vehicle's communication systems. This paper discusses the critical …