Suppr超能文献

一种使用椭圆曲线密码学的用于TMIS的多服务器生物特征认证方案。

A Multiserver Biometric Authentication Scheme for TMIS using Elliptic Curve Cryptography.

作者信息

Chaudhry Shehzad Ashraf, Khan Muhammad Tawab, Khan Muhammad Khurram, Shon Taeshik

机构信息

Department of Computer Science & Software Engineering, International Islamic University Islamabad, Islamabad, Pakistan.

Center of Excellence in Information Assurance, King Saud University, Riyadh, Saudi Arabia.

出版信息

J Med Syst. 2016 Nov;40(11):230. doi: 10.1007/s10916-016-0592-4. Epub 2016 Sep 19.

Abstract

Recently several authentication schemes are proposed for telecare medicine information system (TMIS). Many of such schemes are proved to have weaknesses against known attacks. Furthermore, numerous such schemes cannot be used in real time scenarios. Because they assume a single server for authentication across the globe. Very recently, Amin et al. (J. Med. Syst. 39(11):180, 2015) designed an authentication scheme for secure communication between a patient and a medical practitioner using a trusted central medical server. They claimed their scheme to extend all security requirements and emphasized the efficiency of their scheme. However, the analysis in this article proves that the scheme designed by Amin et al. is vulnerable to stolen smart card and stolen verifier attacks. Furthermore, their scheme is having scalability issues along with inefficient password change and password recovery phases. Then we propose an improved scheme. The proposed scheme is more practical, secure and lightweight than Amin et al.'s scheme. The security of proposed scheme is proved using the popular automated tool ProVerif.

摘要

最近,针对远程医疗信息系统(TMIS)提出了几种认证方案。事实证明,其中许多方案在应对已知攻击时存在弱点。此外,众多此类方案无法在实时场景中使用。因为它们假定全球范围内有一个单一服务器用于认证。就在最近,阿明等人(《医学系统杂志》39(11):180,2015年)设计了一种认证方案,用于患者与医生之间使用可信中央医疗服务器进行安全通信。他们声称其方案满足所有安全要求,并强调了该方案的效率。然而,本文的分析证明,阿明等人设计的方案容易受到智能卡被盗和验证器被盗攻击。此外,他们的方案存在可扩展性问题,同时密码更改和密码恢复阶段效率低下。然后我们提出了一种改进方案。所提出的方案比阿明等人的方案更实用、更安全且更轻量级。使用流行的自动化工具ProVerif证明了所提出方案的安全性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验