Connected Vehicles Data Classification and the Influence of a Sustainable Data Governance for Optimal Utilisation of In-Vehicle Data

Ali Karimi, Asma Adnane, Iain Phillips, Elhadj Benkhelifa

2025

Abstract

The growth of connected vehicles and their associated services has endowed them with the remarkable ability to rapidly generate vast volumes of data. This proliferation has led to an increasing demand for effective data governance solutions. This paper delves into the exploration of currently available in-vehicle data, meticulously assessing the aspects of data velocity and heterogeneity. By scrutinising these factors, the paper aims to pinpoint and address critical gaps in how to deal with in-vehicle data, ultimately striving to create a seamless platform for managing and harnessing in-vehicle data. This project explores approaches for various connected vehicle communications, including V2V, V2I, and V2X, to define data feeds in the connected vehicle data landscape. The results of the study could influence the design of in-vehicle data governance by providing information on a stronger integrated framework, helping data owners and users make informed decisions about managing their data assets.

Paper Citation

in Harvard Style

Karimi A., Adnane A., Phillips I. and Benkhelifa E. (2025). Connected Vehicles Data Classification and the Influence of a Sustainable Data Governance for Optimal Utilisation of In-Vehicle Data. In Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP; ISBN 978-989-758-735-1, SciTePress, pages 643-650. DOI: 10.5220/0013371100003899

in Bibtex Style

@conference{icissp25,
author={Ali Karimi and Asma Adnane and Iain Phillips and Elhadj Benkhelifa},
title={Connected Vehicles Data Classification and the Influence of a Sustainable Data Governance for Optimal Utilisation of In-Vehicle Data},
booktitle={Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP},
year={2025},
pages={643-650},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013371100003899},
isbn={978-989-758-735-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP
TI - Connected Vehicles Data Classification and the Influence of a Sustainable Data Governance for Optimal Utilisation of In-Vehicle Data
SN - 978-989-758-735-1
AU - Karimi A.
AU - Adnane A.
AU - Phillips I.
AU - Benkhelifa E.
PY - 2025
SP - 643
EP - 650
DO - 10.5220/0013371100003899
PB - SciTePress