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Revocable and Scalable Certificateless Remote Authentication Protocol With Anonymity for Wireless Body Area Networks

Hu Xiong, Zhiguang Qin·2015·IEEE Transactions on Information Forensics and Security

Abstract

To ensure the security and privacy of the patient's health status in the wireless body area networks (WBANs), it is critical to secure the extra-body communication between the smart portable device held by the WBAN client and the application providers, such as the hospital, physician or medical staff. Based on certificateless cryptography, this paper proposes a remote authentication protocol featured with nonrepudiation, client anonymity, key escrow resistance, and revocability for extra-body communication in the WBANs. First, we present a certificateless encryption scheme and a certificateless signature scheme with efficient revocation against short-term key exposure, which we believe are of independent interest. Then, a certificateless anonymous remote authentication with revocation is constructed by incorporating the proposed encryption scheme and signature scheme. Our revocation mechanism is highly scalable, which is especially suitable for the large-scale WBANs, in the sense that the key-update overhead on the side of trusted party increased logarithmically in the number of users. As far as we know, this is the first time considering the revocation functionality of anonymous remote authentication for the WBANs. Both theoretic analysis and experimental simulations show that the proposed authentication protocol is provably secure in the random oracle model and highly practical.

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Metadata

Authors
Xiong, H., & Qin, Z.
Venue
IEEE Transactions on Information Forensics and Security
Published
2015-07
Volume
10
Issue
7
Pages
1442-1455
ISSN
  • 1556-6013 (ISSN-L)
  • 1556-6021
OpenAlex
W2091299352
Cited by
184
References
1
FWCI
17.65
Type
journal article
Language
en
Open access
closed

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Xiong, H., & Qin, Z. (2015). Revocable and Scalable Certificateless Remote Authentication Protocol With Anonymity for Wireless Body Area Networks. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/tifs.2015.2414399

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