An amalgamated novel ids model for misbehaviour detection using vereminet

S Saudagar, R Ranawat - Computer Standards & Interfaces, 2024 - Elsevier
Vehicle ad hoc networks (VANETs) are gaining popularity because they can potentially
increase traffic efficiency with road safety in cooperative intelligent transport systems (C-ITS) …

Federated learning-based vehicle trajectory prediction against cyberattacks

Z Wang, T Yan - 2023 IEEE 29th International Symposium on …, 2023 - ieeexplore.ieee.org
With the development of the Internet of Vehicles (IoV), vehicle wireless communication
poses serious cybersecurity challenges. Faulty information, such as fake vehicle positions …

Internet of things meets vehicles: sheltering in-vehicle network through lightweight machine learning

J Xiao, H Wu, X Li - Symmetry, 2019 - mdpi.com
An internet of vehicles allows intelligent automobiles to interchange messages with other
cars, traffic management departments, and data analysis companies about vehicle …

Deep Autoencoder-Based Integrated Model for Anomaly Detection and Efficient Feature Extraction in IoT Networks

KA Alaghbari, HS Lim, MHM Saad, YS Yong - IoT, 2023 - mdpi.com
The intrusion detection system (IDS) is a promising technology for ensuring security against
cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and …

Experimental analysis of trustworthy in-vehicle intrusion detection system using explainable artificial intelligence (XAI)

H Lundberg, NI Mowla, SF Abedin, K Thar… - IEEE …, 2022 - ieeexplore.ieee.org
Anomaly-based In-Vehicle Intrusion Detection System (IV-IDS) is one of the protection
mechanisms to detect cyber attacks on automotive vehicles. Using artificial intelligence (AI) …

Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things

A Razaque, G Bektemyssova, J Yoo, A Alotaibi, M Ali… - Sensors, 2023 - mdpi.com
Deep learning algorithms have a wide range of applications, including cancer diagnosis,
face and speech recognition, object recognition, etc. It is critical to protect these models …

A data generation workflow for consensus-based connected vehicle security

H Griffith, M Farooq, H Rathore - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Due to their scalability and potential to integrate into existing communication protocols,
consensus-based trust algorithms are a promising approach for detecting data falsification …

Ml-mds: Machine learning based misbehavior detection system for cognitive software-defined multimedia vanets (csdmv) in smart cities

RP Nayak, S Sethi, SK Bhoi, KS Sahoo… - Multimedia Tools and …, 2023 - Springer
Security is a major concern in vehicular networks for reliable communication between the
source and the destination in smart cities. Data, these days, is in the form of safety or non …

A data-driven misbehavior detection system for connected autonomous vehicles

A Sarker, H Shen - Proceedings of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
In a Connected and Autonomous Vehicle (CAV) system, some malicious CAVs may send
out false information in vehicle-to-vehicle communication to gain benefits or cause safety …

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 …