无线体域网络的改进型三因素身份验证协议

Muthukumar Manickam, Ganesh Gopal Devarajan
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引用次数: 0

摘要

无线体域网(WBAN)是医疗保健系统的一个具体解决方案,必须确保 WBAN 传感器传感数据的安全性,使其免受易受攻击的威胁,并确保未经授权的实体无法访问。有鉴于此,高度可靠的验证方案和解决方案对于 WBAN 的成功应用至关重要。为此,研究人员在过去几十年中推荐了大量安全认证解决方案。然而,由于缺乏对安全相互认证方案的统一研究,因此无法实现为该领域提供鸟瞰式解决方案的广泛目标。为了解决以往方案中存在的安全问题,我们采用了以下方法:我们回顾了 Ali 等人的方案,这是最近提出的一种用于医疗监控的无线医疗传感器网络身份验证方案,并断言他们的方案可以抵御各种攻击。尽管如此,我们还是通过严格的密码分析证明了他们的方案仍然存在重大安全缺陷,很容易受到各种攻击。随后,我们提出了自己的三因素验证方案,以克服 Ali 等人方案中发现的易受攻击问题。之后,我们使用 Burrows-Abadi-Needham (BAN)逻辑进行了广泛的非正式和正式分析,以验证所提方案的稳健性。通过分析,我们证明了所提出的验证方案能够抵御对无线局域网的各种攻击。最后,对我们的方案进行了重要的性能评估。结果表明,我们的方案对于功能丰富的 WBAN 医疗保健应用来说,是一种稳健且相同的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved three factor authentication protocol for wireless body area networks

Wireless Body Area Networks (WBAN) is a concrete solution for the healthcare system, and it is paramount to ensure the sensed data by the WBAN sensors is secure against vulnerable threats and inaccessible by unauthorized entities. In light of this, highly robust authentication schemes and solutions are essential for the successful adoption of WBANs. To this end, a plethora of secure authentication solutions have been recommended by investigators over the past few decades. However, the absence of cohesive research work in view of secure mutual authentication schemes does not light on the extensive purpose of offering a bird’s-eye solution to the domain. To address the security issues in the previous schemes, we approach them in the following manner: We reviewed the Ali et al. scheme, a recently proposed authentication scheme for wireless medical sensor networks for healthcare monitoring, asserting that their scheme can withstand various attacks. Despite this, we proved that their scheme still has significant security weaknesses and is vulnerable to various attacks through rigorous cryptanalysis. Afterward, we proposed our three-factor authentication scheme to overcome the vulnerable attacks found in the Ali et al. scheme. Thereafter, we performed an extensive informal and formal analysis using Burrows-Abadi-Needham (BAN) logic to verify the robustness of the proposed scheme. From the analysis, we proved that the proposed authentication scheme is able to withstand various attacks on WBAN. Finally, a critical performance evaluation is done on our scheme. From the results, we identified that our scheme is a robust and identical solution for feature-rich WBAN health-care applications.

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