Recently, a tangible vehicular fog computing (VFC) platform based on oneM2M, called oneVFC, has been proposed. This platform enabled federated AI learning, but did not include sufficient attention to security. Therefore, this paper proposes an effective authentication and key agreement protocol based on the Elliptic curve cryptography (ECC) to enhance privacy preservation in an authenticated way in order to ensure safer AI training. Experimental results show that the proposed authentication mechanisms make reliable transmissions in highly-mobile vehicular networks possible, resulting in a desirable quality of service (QoS). The performance and security strength of two authenticated encryption modes of AES, GCM and CCM, are also compared and evaluated.
Hue, TTK, Tuan, NGDND, Braeken, A, Steenhaut, K & Seee, KHP 2022, Effective Authentication Mechanism for Vehicular Fog Infrastructure. in ICCE 2022 - 2022 IEEE 9th International Conference on Communications and Electronics. ICCE 2022 - 2022 IEEE 9th International Conference on Communications and Electronics, Institute of Electrical and Electronics Engineers Inc., pp. 93-98, 9th IEEE International Conference on Communications and Electronics, ICCE 2022, Nha Trang City, Viet Nam, 27/07/22. https://doi.org/10.1109/ICCE55644.2022.9852081
Hue, T. T. K., Tuan, N. G. D. N. D., Braeken, A., Steenhaut, K., & Seee, K. H. P. (2022). Effective Authentication Mechanism for Vehicular Fog Infrastructure. In ICCE 2022 - 2022 IEEE 9th International Conference on Communications and Electronics (pp. 93-98). (ICCE 2022 - 2022 IEEE 9th International Conference on Communications and Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE55644.2022.9852081
@inproceedings{8fbb82189f2b49f19a98a13329a89b0b,
title = "Effective Authentication Mechanism for Vehicular Fog Infrastructure",
abstract = "Recently, a tangible vehicular fog computing (VFC) platform based on oneM2M, called oneVFC, has been proposed. This platform enabled federated AI learning, but did not include sufficient attention to security. Therefore, this paper proposes an effective authentication and key agreement protocol based on the Elliptic curve cryptography (ECC) to enhance privacy preservation in an authenticated way in order to ensure safer AI training. Experimental results show that the proposed authentication mechanisms make reliable transmissions in highly-mobile vehicular networks possible, resulting in a desirable quality of service (QoS). The performance and security strength of two authenticated encryption modes of AES, GCM and CCM, are also compared and evaluated. ",
keywords = "CCM, Elliptic Curve cryptography, Federated Learning, GCM, vehicular fog computing",
author = "Hue, {Ta Thi Kim} and Tuan, {Nguyen Gia Duoc Nguyen Duy} and An Braeken and Kris Steenhaut and Seee, {Kieu Ha Phung}",
note = "Funding Information: The research work is supported by Vingroup Innovation Foundation (VINIF) in project code VINIF.2019.DA16 Funding Information: ACKNOWLEDGMENT The research work is supported by Vingroup Innovation Foundation (VINIF) in project code VINIF.2019.DA16. Publisher Copyright: {\textcopyright} 2022 IEEE.; 9th IEEE International Conference on Communications and Electronics, ICCE 2022 ; Conference date: 27-07-2022 Through 29-07-2022",
year = "2022",
doi = "10.1109/ICCE55644.2022.9852081",
language = "English",
series = "ICCE 2022 - 2022 IEEE 9th International Conference on Communications and Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "93--98",
booktitle = "ICCE 2022 - 2022 IEEE 9th International Conference on Communications and Electronics",
address = "United States",
}