通过使用区块链技术加密加强医疗保健数据安全性的整体框架
Pokuri Venkataradhakrishnamurty1, K Malathi2
1Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. murthypokuri1982@gmail.com.
Scientific reports
|December 17, 2025
概括
本研究介绍了一个区块链集成的高级加密标准 (BCT-AES) 框架,用于增强医疗数据安全. 这种新的方法显著提高了加密速度和数据完整性,确保了患者的隐私.
科学领域:
- 计算机科学 计算机科学
- 医疗信息学 医疗信息学
- 网络安全 网络安全
背景情况:
- 由于敏感的患者信息和不断增加的网络威胁,医疗保健数据安全至关重要.
- 现有的安全措施存在局限性,需要创新的数据保护解决方案.
- 需要安全,私有和不变的医疗保健数据管理是至关重要的.
研究的目的:
- 提出一个新的区块链集成高级加密标准 (BCT-AES) 框架,以提高医疗保健数据安全性.
- 提高敏感患者信息的隐私,完整性和整体安全性.
- 为安全的医疗数据管理和预测分析提供实用和高效的解决方案.
主要方法:
- 这是一个混合框架,它结合了卷积神经网络 (CNN) 来进行特征提取,决策树 (DT) 和后勤回归 (LR) 来进行分类.
- 集成高级加密标准 (AES) 与区块链技术,用于分散和防改的数据存储.
- 使用Python实现,确保实用性和现实世界的适用性.
主要成果:
- 该BCT-AES框架实现了1.12毫秒的平均加密时间,比现有方法快得多.
- 获得了很高的分类准确度:99%的决策树 (DT) 和89%的后勤回归 (LR).
- 与AES-CP-IDABE,增强AES和AES-CBC相比,在加密速度和预测能力方面表现出卓越的性能.
结论:
- 拟议的BCT-AES框架为安全的医疗数据管理提供了实用和有效的解决方案.
- 深度学习,先进加密和区块链技术的整合增强了数据安全和隐私.
- 该框架支持实时分析,同时确保对患者保密性的强有力的保护.
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