False message detection in Internet of Vehicle through machine learning and vehicle consensus

C Cheong, S Li, Y Cao, X Zhang, D Liu - Information Processing & …, 2024 - Elsevier
The introduction of Internet of Vehicles (IoV) is promising in enabling vehicles to
communicate with each other. However, attackers can invade the on-board operating …

LSTM-based intrusion detection system for VANETs: a time series classification approach to false message detection

Y Yu, X Zeng, X Xue, J Ma - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In vehicular ad hoc networks (VANETs), vehicles broadcast emergency messages and
beacon messages, which enable drivers to perceive traffic conditions beyond their visual …

Edge computing and blockchain for quick fake news detection in IoV

Y Xiao, Y Liu, T Li - Sensors, 2020 - mdpi.com
The dissemination of false messages in Internet of Vehicles (IoV) has a negative impact on
road safety and traffic efficiency. Therefore, it is critical to quickly detect fake news …

Anomaly Detection for In-Vehicle Network Using Self-Supervised Learning With Vehicle-Cloud Collaboration Update

J Cao, X Di, X Liu, J Li, Z Li, L Zhao… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the increasing communications between the In-Vehicle Networks (IVNs) and external
networks, security has become a stringent problem. In addition, the controller area network …

Sec-IoV: A multi-stage anomaly detection scheme for Internet of vehicles

S Garg, K Kaur, G Kaddoum, F Gagnon… - Proceedings of the …, 2019 - dl.acm.org
Rapid progress in Intelligent Transportation Systems (ITS) during the last few decades has
resulted in the emergence of the Internet of Vehicles (IoV), in which smart vehicles …

[HTML][HTML] An Intelligent Attack Detection Framework for the Internet of Autonomous Vehicles with Imbalanced Car Hacking Data

S Alshathri, A Sayed, EED Hemdan - World Electric Vehicle Journal, 2024 - mdpi.com
The modern Internet of Autonomous Vehicles (IoVs) has enabled the development of
autonomous vehicles that can interact with each other and their surroundings, facilitating …

Reinforcement learning based misbehavior detection in vehicular networks

R Sedar, C Kalalas, F Vázquez-Gallego… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is contributing towards the realization of
futuristic vehicular networks such as Internet-of-Vehicles (IoV). The IoV is expected to usher …

Anomaly detection for connected autonomous vehicles using LSTM and Gaussian naïve Bayes

P Mansourian, N Zhang, A Jaekel… - … Conference on Wireless …, 2023 - Springer
In the foreseen future, connected autonomous vehicles (CAVs) are expected to improve
driving safety and experience considerably; however, cybersecurity remains a critical issue …

Deep learning-based anomaly detection for connected autonomous vehicles using spatiotemporal information

P Mansourian, N Zhang, A Jaekel… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although connected mymargin autonomous vehicles (CAVs) hold great potential to improve
driving safety and experience significantly, cybersecurity remains a critical concern. As the …

Vcash: a novel reputation framework for identifying denial of traffic service in internet of connected vehicles

Z Tian, X Gao, S Su, J Qiu - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Trust management of the Internet of Connected Vehicles has been a hot topic in recent
years with the rapid development of UGV technologies. However, existing resolutions based …