Cryptanalysis of an Anonymous Mutual Authentication Protocol for Wireless Body Area Network

Azeddine Attir

2022

Abstract

Wireless body area networks (WBANs) represent an important entity in E-health system, these networks offer enhanced efficiency, flexibility, and cost savings to patients, healthcare providers, and medical professionals in home- as well as hospital-based scenarios. The authentication of sensors is an essential security task. To the best of our knowledge, (Li et al, 2017) proposed the lightest authentication and key agreement scheme for WBAN. However, (M. Koya and Deepthi P. P, 2018) show that the Li et al. scheme is vulnerable to impersonation attack and they proposed to use the biokeys extracted from the inter pulse interval (IPI) to defend this attack. In this paper, we demonstrate that the M. Koya and Deepthi P. P scheme is vulnerable from sensor node spoofing attack hence, it does not provide anonymity. Subsequently we propose a security solution tackled with such vulnerability.

Paper Citation

in Harvard Style

Attir A. (2022). Cryptanalysis of an Anonymous Mutual Authentication Protocol for Wireless Body Area Network. In Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-551-7, pages 129-133. DOI: 10.5220/0010829000003118

in Bibtex Style

@conference{sensornets22,
author={Azeddine Attir},
title={Cryptanalysis of an Anonymous Mutual Authentication Protocol for Wireless Body Area Network},
booktitle={Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2022},
pages={129-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010829000003118},
isbn={978-989-758-551-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Cryptanalysis of an Anonymous Mutual Authentication Protocol for Wireless Body Area Network
SN - 978-989-758-551-7
AU - Attir A.
PY - 2022
SP - 129
EP - 133
DO - 10.5220/0010829000003118