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) …

Demystifying in-vehicle intrusion detection systems: A survey of surveys and a meta-taxonomy

G Karopoulos, G Kambourakis, E Chatzoglou… - Electronics, 2022 - mdpi.com
Breaches in the cyberspace due to cyber-physical attacks can harm the physical space, and
any type of vehicle is an alluring target for wrongdoers for an assortment of reasons …

Deep transfer learning based intrusion detection system for electric vehicular networks

ST Mehedi, A Anwar, Z Rahman, K Ahmed - Sensors, 2021 - mdpi.com
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

H Kheddar, Y Himeur, AI Awad - Journal of Network and Computer …, 2023 - Elsevier
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …

Transfer-learning-based intrusion detection framework in IoT networks

E Rodríguez, P Valls, B Otero, JJ Costa, J Verdú… - Sensors, 2022 - mdpi.com
Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …

Transforming transportation: Safe and secure vehicular communication and anomaly detection with intelligent cyber–physical system and deep learning

HN AlEisa, F Alrowais, R Allafi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …

[PDF][PDF] Deep transfer learning applications in intrusion detection systems: A comprehensive review

H Kheddar, Y Himeur, AI Awad - arxiv preprint arxiv …, 2023 - research.uaeu.ac.ae
Globally, the external Internet is increasingly being connected to the contemporary industrial
control system. As a result, there is an immediate need to protect the network from several …

G-idcs: Graph-based intrusion detection and classification system for can protocol

SB Park, HJ Jo, DH Lee - IEEE Access, 2023 - ieeexplore.ieee.org
The security of in-vehicle networks has become an important issue as automobiles become
more connected and automated. In this paper, we propose a graph-based intrusion …

Detecting masquerade attacks in controller area networks using graph machine learning

W Marfo, P Moriano, DK Tosh, SV Moore - arxiv preprint arxiv:2408.05427, 2024 - arxiv.org
Modern vehicles rely on a myriad of electronic control units (ECUs) interconnected via
controller area networks (CANs) for critical operations. Despite their ubiquitous use and …

Can-bert do it? controller area network intrusion detection system based on bert language model

N Alkhatib, M Mushtaq, H Ghauch… - 2022 IEEE/ACS 19th …, 2022 - ieeexplore.ieee.org
Due to the rising number of sophisticated customer functionalities, electronic control units
(ECUs) are increasingly integrated into modern automotive systems. However, the high …