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 …

In-vehicle communication cyber security: challenges and solutions

RS Rathore, C Hewage, O Kaiwartya, J Lloret - Sensors, 2022 - mdpi.com
In-vehicle communication has become an integral part of today's driving environment
considering the growing add-ons of sensor-centric communication and computing devices …

A survey of CNN-based network intrusion detection

L Mohammadpour, TC Ling, CS Liew, A Aryanfar - Applied Sciences, 2022 - mdpi.com
Over the past few years, Internet applications have become more advanced and widely
used. This has increased the need for Internet networks to be secured. Intrusion detection …

Big data analytics deep learning techniques and applications: A survey

HA Selmy, HK Mohamed, W Medhat - Information Systems, 2023 - Elsevier
Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

Transformer-based attention network for in-vehicle intrusion detection

TP Nguyen, H Nam, D Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Despite the significant advantages of communication systems between electronic control
units, the controller area network (CAN) protocol is vulnerable to attacks owing to its weak …

Analysis of recent deep-learning-based intrusion detection methods for in-vehicle network

K Wang, A Zhang, H Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The development and popularity of vehicle-to-everything communication have caused more
risks to the in-vehicle networks security. As a result, an increasing number of various and …

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 …

[HTML][HTML] Canova: a hybrid intrusion detection framework based on automatic signal classification for can

A Nichelini, CA Pozzoli, S Longari, M Carminati… - Computers & …, 2023 - Elsevier
Over the years, vehicles have become increasingly complex and an attractive target for
malicious adversaries. This raised the need for effective and efficient Intrusion Detection …

A deep learning-based intrusion detection system for in-vehicle networks

H Alqahtani, G Kumar - Computers and Electrical Engineering, 2022 - Elsevier
Modern vehicles are increasingly getting connected within the vehicles, with other systems,
leading to more concerns about security. Controller area network (CAN) has become a de …

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 …