CF-AIDS: Comprehensive Frequency-Agnostic Intrusion Detection System on In-Vehicle Network

MR Islam, M Sahlabadi, K Kim, Y Kim, K Yim - IEEE Access, 2023 - ieeexplore.ieee.org
Many studies have focused on obtaining high accuracy in the design of Intrusion Detection
Systems (IDS) for in-vehicle networks, neglecting the significance of different intensive …

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 …

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 …

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 …

Intrusion Detection Systems to Secure In-Vehicle Networks

L Zhang - 2023 - deepblue.lib.umich.edu
With recent advancements in the automotive world and the introduction of autonomous
vehicles, more software-driven electrical components and wireless connectivity are being …

IoV-BERT-IDS: Hybrid Network Intrusion Detection System in IoV Using Large Language Models

M Fu, P Wang, M Liu, Z Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The traditional vehicular ad hoc network (VANET) gradually evolved into the internet of
vehicles (IoV), which has also become a potential target for attacks and faces security …

Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks

M Almehdhar, A Albaseer, MA Khan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …

A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic

W Lo, H Alqahtani, K Thakur, A Almadhor… - Vehicular …, 2022 - Elsevier
A significant increase in the use of electronics control units (ECUs) in modern vehicles has
made controller area network (CAN) a de facto standard in the automotive industry. CAN …

A transfer learning and optimized CNN based intrusion detection system for Internet of Vehicles

L Yang, A Shami - ICC 2022-IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Modern vehicles, including autonomous vehicles and connected vehicles, are increasingly
connected to the external world, which enables various functionalities and services …

Intrusion detection framework for in-vehicle network combining time features and data features

G Qin, Y Zhou, J Yan, J Chen, B Rao… - 2022 IEEE/CIC …, 2022 - ieeexplore.ieee.org
In recent years, the security of in-vehicle networks has received a lot of concern. The lack of
in-vehicle network security mechanisms makes the in-vehicle network extremely vulnerable …