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 …

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 …

A portfolio selection of internet of things (IoTs) applications for the sustainable urban transportation: A novel hybrid multi criteria decision making approach

JH Dahooie, A Mohammadian, AR Qorbani… - Technology in Society, 2023 - Elsevier
The nature of technological innovations is unpredictable, therefore decision making on
disruptive technologies such as the Internet of Things (IoT) in many public sector …

[HTML][HTML] Security issues with in-vehicle networks, and enhanced countermeasures based on blockchain

N Khatri, R Shrestha, SY Nam - Electronics, 2021 - mdpi.com
Modern vehicles are no longer simply mechanical devices. Connectivity between the
vehicular network and the outside world has widened the security holes that hackers can …

Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning

F Jin, M Chen, W Zhang, Y Yuan, S Wang - Information Sciences, 2021 - Elsevier
In recent years, the Internet of vehicles (IoV) technology becomes a research hotspot.
However, it also becomes a hotbed for malicious attacks. In the IoV, frequent data …

Anomaly detection in the internet of vehicular networks using explainable neural networks (xnn)

S Aziz, MT Faiz, AM Adeniyi, KH Loo, KN Hasan, L Xu… - Mathematics, 2022 - mdpi.com
It is increasingly difficult to identify complex cyberattacks in a wide range of industries, such
as the Internet of Vehicles (IoV). The IoV is a network of vehicles that consists of sensors …

Machine Learning based intrusion detection systems for connected autonomous vehicles: A survey

J Nagarajan, P Mansourian, MA Shahid… - Peer-to-Peer Networking …, 2023 - Springer
Abstract Connected and Autonomous Vehicles (CAVs) expect to dramatically improve road
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …

EmbeddedPigDet—Fast and accurate pig detection for embedded board implementations

J Seo, H Ahn, D Kim, S Lee, Y Chung, D Park - Applied Sciences, 2020 - mdpi.com
Automated pig monitoring is an important issue in the surveillance environment of a pig
farm. For a large-scale pig farm in particular, practical issues such as monitoring cost should …

Robust anomaly-based intrusion detection system for in-vehicle network by graph neural network framework

J Xiao, L Yang, F Zhong, H Chen, X Li - Applied Intelligence, 2023 - Springer
With the development of Internet of Vehicles (IoVs) techniques, many emerging technologies
and their applications are integrated with IoVs. The application of these new technologies …