Social Psychology Inspired Distributed Ledger Technique for Anomaly Detection in Connected Vehicles

H Rathore, S Sai, A Gundewar - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected Vehicles (CVs), an integral part of the future of intelligent transportation systems,
use communication and sensing technologies to communicate among vehicles and …

Blockchain-assisted reputation management scheme for internet of vehicles

Q Liu, J Gong, Q Liu - Sensors, 2023 - mdpi.com
With the rapid development of Internet of Vehicles (IoV), particularly the introduction of
Mobile Edge Computing (MEC), vehicles can efficiently share data with one another …

[HTML][HTML] A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems

T Alladi, V Kohli, V Chamola, FR Yu - Digital Communications and …, 2023 - Elsevier
With the rise of the Internet of Vehicles (IoV) and the number of connected vehicles
increasing on the roads, Cooperative Intelligent Transportation Systems (C-ITSs) have …

Evaluation of a reputation management technique for autonomous vehicles

D Kianersi, S Uppalapati, A Bansal, J Straub - Future Internet, 2022 - mdpi.com
Future autonomous vehicles will rely heavily on sharing and communicating information with
other vehicles to maximize their efficiency. These interactions, which will likely include …

Misbehavior detection in vehicular ad hoc networks based on privacy-preserving federated learning and blockchain

P Lv, L Xie, J Xu, X Wu, T Li - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
As an irreversible trend, connected vehicles have become increasingly more popular. They
depend on the generation and sharing of data between vehicles to improve safety and …

Reputation and trust models with data quality metrics for improving autonomous vehicles traffic security and safety

S Chuprov, I Viksnin, I Kim… - 2020 IEEE systems …, 2020 - ieeexplore.ieee.org
In this paper, we develop, implement, test, and analyze a novel technique that allows to
improve the security and safety of intersections crossing by the group of autonomous …

Comparative study on supervised versus semi-supervised machine learning for anomaly detection of in-vehicle can network

Y Dong, K Chen, Y Peng, Z Ma - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
As the central nerve of the intelligent vehicle control system, the in-vehicle network bus is
crucial to the security of vehicle driving. One of the best standards for the in-vehicle network …

Anomaly detection for automated vehicles integrating continuous wavelet transform and convolutional neural network

L Wang, X Zhang - Applied Sciences, 2023 - mdpi.com
Connected and automated vehicles (CAVs) involving massive advanced sensors and
electronic control units (ECUs) bring intelligentization to the transportation system and …

Mobile edge assisted literal multi-dimensional anomaly detection of in-vehicle network using LSTM

K Zhu, Z Chen, Y Peng, L Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The development of Internet of Vehicles (IoVs) have introduced more intrusions to the
vulnerabilities of in-vehicle network. It is important to detect in-vehicle network anomaly for …

Hierarchical anomaly detection model for in-vehicle networks using machine learning algorithms

S Park, JY Choi - Sensors, 2020 - mdpi.com
The communication and connectivity functions of vehicles increase their vulnerability to
hackers. The unintended failure and malfunction of in-vehicle systems caused by external …