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基于多项式门限秘密共享方案和 Blowfish 算法的医疗保健系统中可验证、安全的移动代理迁移。

Verifiable, Secure Mobile Agent Migration in Healthcare Systems Using a Polynomial-Based Threshold Secret Sharing Scheme with a Blowfish Algorithm.

机构信息

Department of Computer Science and Engineering, JSS Academy of Technical Education, Noida 201301, Uttar Pradesh, India.

Institute of Engineering & Technology, Shobhit University, Meerut 250110, Uttar Pradesh, India.

出版信息

Sensors (Basel). 2022 Nov 8;22(22):8620. doi: 10.3390/s22228620.

Abstract

A mobile agent is a software application that moves naturally among hosts in a uniform and non-uniform environment; it starts with one host and then moves onto the next in order to divide data between clients. The mobile paradigm is utilized in a wide assortment of medical care applications such as the medical information of a patient, the recovery of clinical information, the incorporation of information pertaining to their wellbeing, dynamic help, telemedicine, obtaining clinical data, patient administration, and so on. The accompanying security issues have grown in tandem with the complexity and improvements in mobile agent technologies. As mobile agents work in an insecure environment, their security is a top priority when communicating and exchanging data and information. Data integrity, data confidentiality and authentication, on-repudiation, denial of service, and access control, are all key security concerns with mobile agent migration. This paper proposes a Verifiable, Secure Mobile Agent Migration model, based on two polynomials (t, n), and an edge secret imparting plan with Blowfish encryption, to enable secure information transmission in clinical medical care.

摘要

移动代理是一种在统一和非统一环境中自然移动的软件应用程序;它从一台主机开始,然后移动到下一台主机,以便在客户端之间分配数据。移动范例在各种医疗保健应用中得到了广泛应用,如患者的医疗信息、临床信息的恢复、与他们的健康相关的信息的整合、动态帮助、远程医疗、获取临床数据、患者管理等。随着移动代理技术的复杂性和改进,随之而来的是安全性问题。由于移动代理在不安全的环境中工作,因此在通信和交换数据和信息时,其安全性是重中之重。数据完整性、数据机密性和身份验证、不可抵赖性、拒绝服务和访问控制,都是移动代理迁移的关键安全问题。本文提出了一种基于两个多项式(t,n)和边缘秘密分配计划的可验证、安全的移动代理迁移模型,使用 Blowfish 加密实现临床医疗中的安全信息传输。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b7/9698591/cdcc908c5276/sensors-22-08620-g001a.jpg

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