[HTML][HTML] In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches

F Luo, J Wang, X Zhang, Y Jiang, Z Li, C Luo - PeerJ Computer Science, 2023 - peerj.com
Developments in connected and autonomous vehicle technologies provide drivers with
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …

[HTML][HTML] A review of security attacks and intrusion detection in the vehicular networks

T Nandy, RM Noor, R Kolandaisamy, MYI Idris… - Journal of King Saud …, 2024 - Elsevier
With the proliferation of Vehicular Ad Hoc Networks (VANETs), ensuring the security and
integrity of communication within these networks has become a paramount concern. This …

Identification and classification for multiple cyber attacks in power grids based on the deep capsule CNN

G Zhang, J Li, O Bamisile, Y Xing, D Cao… - … Applications of Artificial …, 2023 - Elsevier
Cyber-attacks have become one of the main threats to the security, reliability, and economic
operation of power systems. Detection and classification of multiple cyber-attacks pose …

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 …

A novel and efficient framework for in-vehicle security enforcement

A Haddaji, S Ayed, LC Fourati - Ad Hoc Networks, 2024 - Elsevier
Abstract The Internet of Vehicles (IoV) has garnered significant popularity thanks to rapid
technological advancements and the widespread availability of the Internet. IoV …

Attack Detection for Intelligent Vehicles via CAN-Bus: A Lightweight Image Network Approach

S Gao, L Zhang, L He, X Deng, H Yin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article investigates the security detection mechanism of intelligent vehicles under DoS
attack. A lightweight CanNet-based attack detection mechanism is developed, which is …

[HTML][HTML] IoV vulnerability classification algorithm based on knowledge graph

J Wang, Y Wang, J Song, H Cheng - Electronics, 2023 - mdpi.com
With the rapid development of smart technologies, the Internet of Vehicles (IoV) is
revolutionizing transportation and mobility. However, the complexity and interconnectedness …

[HTML][HTML] A comprehensive guide to CAN IDS data and introduction of the ROAD dataset

ME Verma, RA Bridges, MD Iannacone, SC Hollifield… - PLoS one, 2024 - journals.plos.org
Although ubiquitous in modern vehicles, Controller Area Networks (CANs) lack basic
security properties and are easily exploitable. A rapidly growing field of CAN security …

Artificial intelligence (AI) advancements for transportation security: in-depth insights into electric and aerial vehicle systems

G Kumar, A Altalbe - Environment, Development and Sustainability, 2024 - Springer
The transformative advancements in transportation technology have brought forth electric
and aerial vehicles (EnAVs) as revolutionizing modes of mobility. However, amidst the …

Enhanced Intrusion Detection in In-Vehicle Networks using Advanced Feature Fusion and Stacking-Enriched Learning

A Altalbe - IEEE Access, 2023 - ieeexplore.ieee.org
Modern vehicles rely heavily on interconnected electronic control units (ECUs) through in-
vehicle networks to perform crucial functions such as braking and monitoring engine RPMs …