Many-to-One Lightweight Batch Authentication Key Agreement for Wireless Body Area Networks
Wireless body area networks (WBANs) are widely used in the medical field, which makes it easier for doctors to gather patients’ physiological information to diagnose their physical status. Recently, a variety of lightweight authentication key agreement (AKA) protocols have been proposed for WBANs. However, the computational overhead of the authentication process for most of these protocols increases exponentially when the number of patients increases dramatically. Therefore, to improve the authentication efficiency, a many-to-one, lightweight batch AKA protocol based on the Chinese remainder theorem is proposed, which can realize that cloud server (CS) interacts with the gateway nodes once to obtain multiple session keys with different sensor nodes, so as to achieve the effect that multiple sensor nodes participate in the AKA at the same time. In addition, only hash function, XOR operation, and symmetric encryption are used in the proposed protocol. During the key agreement process, CS can compute the session key between it and the sensor node on demand. Sensor nodes can dynamically join and leave the WBAN, which increases the flexibility of the protocol. We verify the protocol’s security using formal security analysis tools, such as the real-or-random model, Burrows-Abadi–Needham logic, and the ProVerif tool. The experiment and comparison results indicate that the proposed protocol outperforms the other related protocols in terms of efficiency.
Authors
- Dong Xie (ORCID: https://orcid.org/0000-0001-9858-3782)
- Weixin Bian (ORCID: https://orcid.org/0000-0003-2341-5359)
- Sanqiang Liu
- Taochun Wang (ORCID: https://orcid.org/0000-0003-4717-9303)
- Zhiyang Li (ORCID: https://orcid.org/0000-0002-5396-3447)
- Fulong Chen (ORCID: https://orcid.org/0000-0003-0557-5084)
Institutions
- Anhui Normal University (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1109/jiot.2024.3493419
- Citations
- 4
- Primary Topic
- Wireless Body Area Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.74
Funders
- National Natural Science Foundation of China