Intra-Vehicular Network Security Datasets Evaluation

Achref Haddaji, Samiha Ayed, Lamia Fourati

2023

Abstract

Vehicular networks are more and more connected to the outside world. Therefore they became highly vulnerable to different cyber-attacks by being an easy target. Consequently, intra-vehicular networks’ cybersecurity risk is raised too. As a solution, Artificial Intelligence (AI) based solutions were proposed to overcome these issues. On the other hand, their effectiveness relies mainly on the existing sources and datasets to ensure the networks’ security. However, there is a significant challenge to overcome: the studies of the existing datasets of intra-vehicular network security. To tackle this issue, this paper examines and assesses existing intra-vehicular network security datasets. In addition, we comprehensively provide a detailed resource on the existing datasets and elaborate a comparative study. This paper also presents outstanding research discussions on dataset preprocessing, usability, and strength points to guide and help researchers.

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Paper Citation


in Harvard Style

Haddaji A., Ayed S. and Fourati L. (2023). Intra-Vehicular Network Security Datasets Evaluation. In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH; ISBN 978-989-758-668-2, SciTePress, pages 401-408. DOI: 10.5220/0012131200003546


in Bibtex Style

@conference{simultech23,
author={Achref Haddaji and Samiha Ayed and Lamia Fourati},
title={Intra-Vehicular Network Security Datasets Evaluation},
booktitle={Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH},
year={2023},
pages={401-408},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012131200003546},
isbn={978-989-758-668-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - Intra-Vehicular Network Security Datasets Evaluation
SN - 978-989-758-668-2
AU - Haddaji A.
AU - Ayed S.
AU - Fourati L.
PY - 2023
SP - 401
EP - 408
DO - 10.5220/0012131200003546
PB - SciTePress