Authenticated Key Agreement Scheme with Strong Anonymity for Multi-Server Environment in TMIS.

Clicks: 208
ID: 63307
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #113 of 134 articles by views in Journal of medical systems

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 134 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The technology of Internet of Things (IoT) has appealed to both professionals and the general public to its convenience and flexibility. As a crucial application of IoT, telecare medicine information system (TMIS) provides people a high quality of life and advanced level of medical service. In TMIS, smart card-based authenticated key agreement schemes for multi-server architectures have gathered momentum and positive impetus due to the conventional bound of a single server. However, we demonstrate that most of the protocols in the literatures can not implement strong security features in TMIS, such as Lee et al.'s and Shu's scheme. They store the identity information directly, which fail to provide strong anonymity and suffer from password guessing attack. Then we propose an extended authenticated key agreement scheme (short for AKAS) with strong anonymity for multi-server environment in TMIS, by enhancing the security of the correlation parameters stored in the smart cards and calculating patients' dynamic identities. Furthermore, the proposed chaotic map-based scheme provides privacy protection and is formally proved under Burrows-Abadi-Needham (BAN) logic. At the same, the informal security analysis attests that the AKAS scheme not only could resist the multifarious security attacks but also improve efficiency by 21% compared with Lee et al.'s and Shu's scheme.
Reference Key
qiao2019authenticatedjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Qiao, Hui;Dong, Xuewen;Shen, Yulong;
Journal Journal of medical systems
Year 2019
DOI
10.1007/s10916-019-1442-y
URL
Keywords
authenticated key agreement chaotic map dynamic identity multi-server strong anonymity

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.