基于多因素环签名的IoMT环境质量评估认证方案

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Journal of Data and Information Quality Pub Date : 2023-01-20 DOI:10.1145/3575811
Kakali Chatterjee, Ashutosh Kumar Singh, Neha, K. Yu
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引用次数: 1

摘要

医疗保健环境的质量已成为医疗保健用户获得优质服务的一个重要因素。智能医疗保健系统使用医疗物联网(IoMT)设备来捕获患者的健康数据,用于治疗或诊断目的。这些收集的敏感患者数据在网络上的不同利益相关者之间共享,以提供高质量的服务。因此,医疗保健系统容易受到机密性、完整性和隐私威胁。在COVID-19情况下,当需要协同医疗会诊时,对框架的质量评估对于保护医生和患者的隐私至关重要。本文针对协同医疗会诊环境,设计了一种基于环签名的匿名认证与质量评估方案,用于质量评估和医患隐私保护。该方案还采用了一种新的KMOV密码系统来保证网络的质量,并保护系统免受各种影响数据保密性的攻击。
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A Multifactor Ring Signature based Authentication Scheme for Quality Assessment of IoMT Environment in COVID-19 Scenario
The quality of the healthcare environment has become an essential factor for healthcare users to access quality services. Smart healthcare systems use the Internet of Medical Things (IoMT) devices to capture patients’ health data for treatment or diagnostic purposes. This sensitive collected patient data is shared between the different stakeholders across the network to provide quality services. Due to this, healthcare systems are vulnerable to confidentiality, integrity and privacy threats. In the COVID-19 scenario, when collaborative medical consultation is required, the quality assessment of the framework is essential to protect the privacy of doctors and patients. In this paper, a ring signature-based anonymous authentication and quality assessment scheme is designed for collaborative medical consultation environments for quality assessment and protection of the privacy of doctors and patients. This scheme also uses a new KMOV Cryptosystem to ensure the quality of the network and protect the system from different attacks that hamper data confidentiality.
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来源期刊
ACM Journal of Data and Information Quality
ACM Journal of Data and Information Quality COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.10
自引率
4.80%
发文量
0
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