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 …

Explainable artificial intelligence (XAI) for intrusion detection and mitigation in intelligent connected vehicles: A review

CI Nwakanma, LAC Ahakonye, JN Njoku… - Applied Sciences, 2023 - mdpi.com
The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …

Intelligent transportation system for internet of vehicles based vehicular networks for smart cities

P Rani, R Sharma - Computers and Electrical Engineering, 2023 - Elsevier
A popular research area is internet traffic analysis as it has many applications, mainly for
classifying internet traffic. Innovative technologies have been developed for predicting and …

Deep learning based attack detection for cyber-physical system cybersecurity: A survey

J Zhang, L Pan, QL Han, C Chen… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
With the booming of cyber attacks and cyber criminals against cyber-physical systems
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …

Machine learning and blockchain technologies for cybersecurity in connected vehicles

J Ahmad, MU Zia, IH Naqvi, JN Chattha… - … reviews: data mining …, 2024 - Wiley Online Library
Future connected and autonomous vehicles (CAVs) must be secured against cyberattacks
for their everyday functions on the road so that safety of passengers and vehicles can be …

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 …

Design and development of RNN anomaly detection model for IoT networks

I Ullah, QH Mahmoud - IEEE Access, 2022 - ieeexplore.ieee.org
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …

An explainable deep learning framework for resilient intrusion detection in IoT-enabled transportation networks

A Oseni, N Moustafa, G Creech… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The security of safety-critical IoT systems, such as the Internet of Vehicles (IoV), has a great
interest, focusing on using Intrusion Detection Systems (IDS) to recognise cyber-attacks in …

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 …

Application of a dynamic line graph neural network for intrusion detection with semisupervised learning

G Duan, H Lv, H Wang, G Feng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep learning (DL) greatly enhances binary anomaly detection capabilities through effective
statistical network characterization; nevertheless, the intrusion class differentiation …