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基于身份的密码学在电子健康的有效和安全云模型中的应用。

Using Identity-Based Cryptography as a Foundation for an Effective and Secure Cloud Model for E-Health.

机构信息

Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, Rajpura, India.

KIET Group of Institutions, Delhi NCR, Ghaziabad, India.

出版信息

Comput Intell Neurosci. 2022 Apr 25;2022:7016554. doi: 10.1155/2022/7016554. eCollection 2022.

DOI:10.1155/2022/7016554
PMID:35510050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9061039/
Abstract

Nowadays, one of the most popular applications is cloud computing for storing data and information through World Wide Web. Since cloud computing has become available, users are rapidly increasing. Cloud computing enables users to obtain a better and more effective application at a lower cost in a more satisfactory way. Health services data must therefore be kept as safe and secure as possible because the release of this data could have serious consequences for patients. A framework for security and privacy must be employed to store and manage extremely sensitive data. Patients' confidential health records have been encrypted and saved in the cloud using cypher text so far. To ensure privacy and security in a cloud computing environment is a big issue. The medical system has been designed as a standard, access of records, and effective use by medical practitioners as required. In this paper, we propose a novel algorithm along with implementation details as an effective and secure E-health cloud model using identity-based cryptography. The comparison of the proposed and existing techniques has been carried out in terms of time taken for encryption and decryption, energy, and power. Decryption time has been decreased up to 50% with the proposed method of cryptography. As it will take less time for decryption, less power is consumed for doing the cryptography operations.

摘要

如今,云计算是存储数据和信息的最受欢迎的应用之一,通过万维网实现。自从云计算可用以来,用户数量迅速增加。云计算使用户能够以更低的成本以更满意的方式获得更好、更有效的应用。因此,医疗服务数据必须尽可能安全地保存,因为这些数据的发布可能对患者产生严重后果。必须采用安全和隐私框架来存储和管理极其敏感的数据。迄今为止,已经使用密文对患者的机密健康记录进行了加密并保存在云中。在云计算环境中确保隐私和安全是一个大问题。医疗系统已经设计为标准,记录的访问和医疗从业者的有效使用都按要求进行。在本文中,我们提出了一种新的算法以及基于身份的加密的有效和安全的电子健康云模型的实现细节。在加密和解密时间、能量和功率方面,对所提出的方法和现有技术进行了比较。与现有技术相比,加密时间减少了 50%。由于解密时间较短,因此执行加密操作所需的功率也较小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/13d643802a0b/CIN2022-7016554.alg.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/7e57332e5f6d/CIN2022-7016554.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/881bafe42d71/CIN2022-7016554.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/799611886b98/CIN2022-7016554.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/13d643802a0b/CIN2022-7016554.alg.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/7e57332e5f6d/CIN2022-7016554.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/881bafe42d71/CIN2022-7016554.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/799611886b98/CIN2022-7016554.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69e/9061039/13d643802a0b/CIN2022-7016554.alg.001.jpg

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2
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一种通过云进行数据存储和共享的新型指纹识别技术。
Sensors (Basel). 2021 Nov 17;21(22):7647. doi: 10.3390/s21227647.
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IEEE J Biomed Health Inform. 2014 Mar;18(2):430-9. doi: 10.1109/JBHI.2013.2292829.