使用区块链使用功能偏差圆曲线加密算法用于医疗保健服务的安全可靠的雾支持架构
Charu Awasthi1, Satya Prakash Awasthi2, Prashant Kumar Mishra3
1Research Scholar Department of Computer Engineering Poornima University, Jaipur, India.
Blockchain in healthcare today
|February 25, 2025
概括
雾计算 (FC) 通过在本地处理数据来增强医疗保健. 将区块链与FC和偏向圆曲线加密技术集成,显著提高了敏感健康数据传输的安全性.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 雾计算 (FC) 扩展了云计算能力,为实时医疗保健应用提供了理想的本地数据处理.
- 医疗保健中FC的分布式性质引入了与传统云模型不同的新型安全和隐私挑战.
- 确保安全的数据传输,访问和设备可用性对于FC环境中的医疗应用至关重要.
研究的目的:
- 为医疗保健服务提供一个新的安全框架,利用雾计算.
- 为了解决在医疗保健部门中由FC产生的独特的安全和隐私问题.
- 通过集成的区块链和优化的加密方法提高医疗数据传输的安全性.
主要方法:
- 实施了一个基于区块链的系统,雾节点从医疗传感器收集数据.
- 在区块链上利用智能合约进行数据验证.
- 开发了一个有偏见的圆曲线加密算法用于数据加密,并通过银河蜂群优化算法进行了优化.
主要成果:
- 拟议的方法证明了医疗保健服务中数据传输的增强安全性.
- 性能评估表明与传统方法相比,安全性更高.
- 雾计算和区块链的整合有效地解决了医疗保健数据中的安全漏洞.
结论:
- 雾计算和区块链的结合为安全的医疗保健服务提供了强大的解决方案.
- 开发的加密和优化技术显著提高了数据安全性和传输效率.
- 这种方法为在分布式计算环境中保护敏感医疗信息提供了一个有希望的方向.
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