Security issues in Internet of Vehicles (IoV): A comprehensive survey

H Taslimasa, S Dadkhah, ECP Neto, P Xiong, S Ray… - Internet of Things, 2023 - Elsevier
Nowadays, connected vehicles have a major role in enhancing the driving experience.
Connected vehicles in the network share their knowledge with the help of the network …

A survey of internet of things and cyber-physical systems: standards, algorithms, applications, security, challenges, and future directions

KT Chui, BB Gupta, J Liu, V Arya, N Nedjah… - Information, 2023 - mdpi.com
The smart city vision has driven the rapid development and advancement of interconnected
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …

Federated learning for reliable model updates in network-based intrusion detection

RR dos Santos, EK Viegas, AO Santin, P Tedeschi - Computers & Security, 2023 - Elsevier
Abstract Machine Learning techniques for network-based intrusion detection are widely
adopted in the scientific literature. Besides being highly variable, network traffic behavior …

CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level

MH Shahriar, Y Xiao, P Moriano… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Modern vehicles rely on a fleet of electronic control units (ECUs) connected through
controller area network (CAN) buses for critical vehicular control. With the expansion of …

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 …

Efficient crypto engine for authenticated encryption, data traceability, and replay attack detection over CAN bus network

A Rasheed, M Baza, MM Badr… - … on Network Science …, 2023 - ieeexplore.ieee.org
Smart vehicles and industrial control systems becoming increasingly complex. They are
comprised of a large number of connected intelligence sensor devices. For such systems …

Anomaly detection based on multi-teacher knowledge distillation

Y Ma, X Jiang, N Guan, W Yi - Journal of systems architecture, 2023 - Elsevier
Anomaly detection on high-dimensional data is crucial for real-world industrial applications.
Recent works adopt the Knowledge Distillation (KD) technique to improve the accuracy of …

Detecting CAN overlapped voltage attacks with an improved voltage-based in-vehicle intrusion detection system

L Yin, J Xu, C Wang, Q Wang, F Zhou - Journal of Systems Architecture, 2023 - Elsevier
The in-vehicle voltage-based intrusion detection system (VIDS) can recognize the identity of
the ECUs and detect the physical layer attacks that cannot be detected by the content-based …

Enhanced collaborative intrusion detection for industrial cyber-physical systems using permissioned blockchain and decentralized federated learning networks

J Liang, M Sadiq, G Yang, K Jiang, T Cai… - Engineering Applications of …, 2024 - Elsevier
In the digital economy, the security of Cyber-Physical Systems (CPSs) is paramount. Despite
the deployment of various Intrusion Detection Systems (IDSs) in industrial CPSs, the primary …

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 …