Taming the Data in the Internet of Vehicles

S Tayeb - 2022 - scholarworks.sjsu.edu
Anomaly-based Intrusion Detection System (IDSs) are at the forefront of research due to
their ability to distinguish malignant from benign messages using machine learning and …

Adversarial attacks against deep reinforcement learning framework in internet of vehicles

A Talpur, M Gurusamy - 2021 IEEE Globecom Workshops (GC …, 2021 - ieeexplore.ieee.org
Machine learning (ML) has made incredible impacts and transformations in a wide range of
vehicular applications. As the use of ML in Internet of Vehicles (IoV) continues to advance …

An intelligent intrusion detection system for 5g-enabled internet of vehicles

B Sousa, N Magaia, S Silva - Electronics, 2023 - mdpi.com
The deployment of 5G technology has drawn attention to different computer-based
scenarios. It is useful in the context of Smart Cities, the Internet of Things (IoT), and Edge …

Tree-IDS: An Incremental Intrusion Detection System for Connected Vehicles

Y Zhao, Z Bi, G Xu, C Wang, G Xu - 2023 IEEE 48th …, 2023 - ieeexplore.ieee.org
The rapid development of Internet of Vehicles technology has led to the continuous
upgrading of the functions of connected vehicles. While connected vehicles bring …

Fast anomalous traffic detection system for secure vehicular communications

QA Al-Haija, AA Alsulami - Authorea Preprints, 2023 - essopenarchive.org
Nowadays, vehicle industrialization has realized several connectivity protocols to enable in-
vehicle network communication. These protocols have been collectively standardized in a …

Statistical detection of adversarial examples in blockchain-based federated forest in-vehicle network intrusion detection systems

I Aliyu, S Van Engelenburg, MB Mu'Azu, J Kim… - IEEE …, 2022 - ieeexplore.ieee.org
The internet-of-Vehicle (IoV) can facilitate seamless connectivity between connected
vehicles (CV), autonomous vehicles (AV), and other IoV entities. Intrusion Detection Systems …

DivaCAN: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning

MH Khan, AR Javed, Z Iqbal, M Asim, AI Awad - Computers & Security, 2024 - Elsevier
The controller area network (CAN) protocol is a critical communication mechanism in
vehicular systems. However, the widespread adoption of this protocol has introduced …

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks

W Ding, I Alrashdi, H Hawash, M Abdel-Basset - Information Sciences, 2024 - Elsevier
Autonomous driving (AD) technologies are becoming increasingly popular, promising
significant enhancements in road safety and efficiency. However, the susceptibility of …

Tackling Sybil Attacks in Intelligent connected vehicles: A Review of Machine Learning and Deep Learning Techniques

Y Zhong, B Yang, Y Li, H Yang, X Li… - 2023 8th International …, 2023 - ieeexplore.ieee.org
Intelligent connected vehicles (ICVs) have become increasingly prevalent in recent years,
offering improved safety and efficiency. However, they are also vulnerable to various …

Machine learning attacks and defenses for vehicular cyber physical systems

A Rodriguez, L Richards, D Johnson… - … and Machine Learning …, 2024 - spiedigitallibrary.org
The automotive industry must implement some of the best cybersecurity practices to protect
electronic systems, communication networks, control algorithms, software, users, and data …