[HTML][HTML] A comprehensive review of AI based intrusion detection system

T Sowmya, EAM Anita - Measurement: Sensors, 2023 - Elsevier
In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …

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 …

Addressing the lack of comparability & testing in can intrusion detection research: A comprehensive guide to can ids data & introduction of the road dataset

ME Verma, MD Iannacone, RA Bridges… - arxiv preprint arxiv …, 2020 - arxiv.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 …

Multi-classification in-vehicle intrusion detection system using packet-and sequence-level characteristics from time-embedded transformer with autoencoder

TD Le, HBH Truong, D Kim - Knowledge-Based Systems, 2024 - Elsevier
In recent years, the increased application of controller area network (CAN) protocols has
made it the de facto standard for communication between electronic control units (ECUs) in …

Towards real-time network intrusion detection with image-based sequential packets representation

J Ghadermazi, A Shah… - IEEE Transactions on Big …, 2024 - ieeexplore.ieee.org
Machine learning (ML) and deep learning (DL) advancements have greatly enhanced
anomaly detection of network intrusion detection systems (NIDS) by empowering them to …

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 …

IDS-DEC: A novel intrusion detection for CAN bus traffic based on deep embedded clustering

J Shi, Z **e, L Dong, X Jiang, X ** - Vehicular Communications, 2024 - Elsevier
As the automotive industry advances towards greater automation, the proliferation of
electronic control units (ECUs) has led to a substantial increase in the connectivity of in …

Multi-order feature interaction-aware intrusion detection scheme for ensuring cyber security of intelligent connected vehicles

W Gong, S Yang, H Guang, B Ma, B Zheng… - … Applications of Artificial …, 2024 - Elsevier
The evolution of technology has raised concerns regarding cybersecurity for intelligent
connected vehicles (ICVs). In-vehicle network in ICVs lacks robust protection mechanisms …

Semi-supervised intrusion detection system for in-vehicle networks based on variational autoencoder and adversarial reinforcement learning

TP Nguyen, J Cho, D Kim - Knowledge-Based Systems, 2024 - Elsevier
Despite the affordability, simplicity, and efficiency of controller area network (CAN) protocols,
the security vulnerability remains a major challenge. Currently, a machine learning-based …

KG-ID: Knowledge Graph-Based Intrusion Detection on In-Vehicle Network

H Sun, J Wang, J Weng, W Tan - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The Controller Area Network (CAN) is a widely adopted communication protocol in the
automotive industry, facilitating connectivity among various electronic control units inside …