Ai-based intrusion detection systems for in-vehicle networks: A survey

S Rajapaksha, H Kalutarage, MO Al-Kadri… - ACM Computing …, 2023 - dl.acm.org
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …

Intrusion detection in the automotive domain: A comprehensive review

B Lampe, W Meng - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …

Intrusion detection system using machine learning for vehicular ad hoc networks based on ToN-IoT dataset

AR Gad, AA Nashat, TM Barkat - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent
transportation system (ITS) that enables vehicles to communicate over the wireless …

MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles

L Yang, A Moubayed, A Shami - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …

Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems

H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

Tree-based intelligent intrusion detection system in internet of vehicles

L Yang, A Moubayed, I Hamieh… - 2019 IEEE global …, 2019 - ieeexplore.ieee.org
The use of autonomous vehicles (AVs) is a promising technology in Intelligent
Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything …

An automatic and efficient malware traffic classification method for secure Internet of Things

X Zhang, L Hao, G Gui, Y Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure Internet of Things (IoT). Many deep learning (DL) …

Deep transfer learning based intrusion detection system for electric vehicular networks

ST Mehedi, A Anwar, Z Rahman, K Ahmed - Sensors, 2021 - mdpi.com
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …

Authentication protocols in internet of vehicles: Taxonomy, analysis, and challenges

P Bagga, AK Das, M Wazid, JJPC Rodrigues… - Ieee …, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is treated as an extension of Vehicle-to-Vehicle (V2V)
communication network. IoV helps in enhancing driving aids with the help of vehicle Artificial …

Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks

A Alsarhan, M Alauthman, E Alshdaifat… - Journal of Ambient …, 2023 - Springer
Abstract Machine learning (ML) driven solutions have been widely used to secure wireless
communications Vehicular ad hoc networks (VANETs) in recent studies. Unlike existing …