用于医疗保健领域 ORAP 验证和数据安全的改进型区块链框架

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2024-04-12 DOI:10.1007/s12652-024-04780-4
Parag Rastogi, Devendra Singh, Sarabjeet Singh Bedi
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引用次数: 0

摘要

目前,从传统医疗保健向智能医疗保健系统的转变在很大程度上得益于当前的技术。医疗保健提出了一种新的医疗保健模式,即利用可穿戴传感器、连接性和物联网(IoT)的进步,以患者为中心。海量数据(包括每个人的报告和照片)的管理增加了人力需求和安全隐患。本研究展示了基于区块链的物联网如何通过更合理地使用医疗资源来改善患者护理,同时降低成本。首先,将感知资源提供者的物联网数据,并使用 Diffie Hellman Galois-Elliptic-curve 加密算法(DHG-ECC)进行加密。接下来,将使用基于皮尔逊相关系数的沙猫优化算法(PCC-SCOA)从提取的属性中选出最佳特征。然后,利用数字折叠-Streebog 散列算法将选出的最优特征组合起来并转换成散列码。该散列码将以智能合约的形式构建。接下来,资源需求者(医生或护士)通过组合线性公有生成器-数字签名算法(CLCG-DSA)发送角色请求。下一个资源需求者将把散列访问策略与区块链进行匹配。建议的模型使用特征选择时间、加密时间、解密时间、安全级别、签名创建时间和签名验证时间来比较建议设计的性能。我们提出的 DHGECC 方法的安全性提高了 96.123%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An improved blockchain framework for ORAP verification and data security in healthcare

Currently, the move from traditional healthcare to smart healthcare systems is greatly aided by current technology. Healthcare proposes a new healthcare model that is patient-centered using advancements in wearable sensors, connectivity, and the Internet of Things (IoT). The administration of enormous amounts of data, including reports and pictures of every individual, increases human labour requirements and security hazards. This study shows how a blockchain-based Internet of Things might improve patient care while lowering costs by using medical resources more wisely. Initially, Resource Provider’s IoT data will be sensed and encrypts using Diffie Hellman Galois–Elliptic-curve cryptography (DHG-ECC). Next, from the extracted attributes, the optimal features will be selected by using Pearson Correlation Coefficient based Sand Cat Optimization Algorithm (PCC-SCOA). After that, the selected optimal features will be combined and converted into hashcode using the Digit Folding–Streebog Hashing algorithm. This hashcode will be constructed in the form of Smart Contract. Next, the Resource Requester (Doctor or Nurse) sends the Role Request with the Combined Linear Congruential Generator–Digital Signature Algorithm (CLCG-DSA). The next Resource Requester will be matching the hashed access policy with Blockchain. The proposed models are used to compare the performance of proposed design using feature selection time, Encryption time, Decryption time, security level, signature creation time and signature verification time. Our proposed method DHGECC approach achieves 96.123% higher security.

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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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