Suppr超能文献

生物识别认证在智能和隐私保护医疗系统中的应用。

Biometric Authentication for Intelligent and Privacy-Preserving Healthcare Systems.

机构信息

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.

School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India.

出版信息

J Healthc Eng. 2022 Mar 24;2022:1789996. doi: 10.1155/2022/1789996. eCollection 2022.

Abstract

Secure identification is a critical system requirement for patients seeking health-related services. In the event of critical, aged, or disabled patients who require frequent health treatments, quick and easy identification is vital. Researchers describe the notion of the unprotected environment in this study, in which patients can receive health services from the hospital's smart and intelligent surroundings without the use of explicit equipment. Patients would interact directly with the environment and be identified through it. We suggest a biometric-based authentication technique for the unprotected hospital environment that also safeguards the patient's identity privacy. Furthermore, we demonstrate that this authentication technique is resistant to many well-known assaults, including insider attacks, replay attacks, and identity privacy. Doctors and other staff members showed enthusiastic responses after installing 2-factor authentications, as it makes their workflow efficient and makes things easier for patients. It also lets them focus on other factors rather than worrying about data security; hence, we need biometric authentication in intelligent and privacy-preserving healthcare systems. The paper deals with two-factor biometric authentication, and despite the added security, two-factor authentication adoption is said to be poor. It is due to a lack of awareness and difficulty to use and configure two-factor authentication (2FA) into a particular application by some individuals who struggle with the concept of authentication and its technology. Also, many 2FA methods in widespread use today have not been subjected to adequate usability testing. Research focuses on the point that there is still a large section of people unaware of the use of biometric systems to protect their online data. Researchers collected quantitative and qualitative data from 96 individuals during a two-week between-subjects usability survey of some common and rarely used 2FA approaches. The survey allowed the researcher to investigate which authentication methods are given higher priority and why, along with the relationship between different usage patterns and perceived usability, and identify user misconceptions and insecure habits to determine ease of use. It was observed that the biometric-based method was given the utmost preferability.

摘要

安全识别对于寻求医疗服务的患者来说是一个关键的系统需求。在需要频繁治疗的危重、老年或残疾患者的情况下,快速、简便的识别至关重要。研究人员在这项研究中描述了无保护环境的概念,即在这种环境中,患者可以直接与环境进行交互并通过环境进行身份识别,而无需使用明确的设备来接收医院的智能和智能环境提供的健康服务。我们为无保护的医院环境提出了一种基于生物特征的认证技术,该技术还保护患者的身份隐私。此外,我们证明这种认证技术能够抵御许多著名的攻击,包括内部攻击、重播攻击和身份隐私。安装了双因素认证后,医生和其他工作人员表现出了热情的反应,因为这使他们的工作流程更高效,也使患者更方便。它还可以让他们专注于其他因素,而不必担心数据安全;因此,我们需要在智能和保护隐私的医疗保健系统中使用生物特征认证。本文讨论了双因素生物特征认证,尽管增加了安全性,但双因素认证的采用据说很差。这是由于一些人缺乏意识,以及由于一些人难以理解认证及其技术的概念,难以将双因素认证(2FA)应用于特定应用程序。此外,当今广泛使用的许多 2FA 方法尚未经过充分的可用性测试。研究的重点是,仍然有很大一部分人不知道使用生物识别系统来保护他们的在线数据。研究人员在两周的时间内对一些常见和很少使用的 2FA 方法进行了两次被试间可用性调查,从 96 个人那里收集了定量和定性数据。该调查使研究人员能够研究哪些认证方法更受重视以及原因,以及不同使用模式与感知可用性之间的关系,并确定用户误解和不安全习惯,以确定易用性。结果表明,基于生物特征的方法是最受青睐的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c4/8970854/20f617773f31/JHE2022-1789996.001.jpg

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