医疗保健物联网中大数据分析的下一代安全性使用混合加密技术
Abdullah Alharbi1, Wael Alosaimi1, Masood Ahmad2
1Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
Health informatics journal
|January 19, 2026
概括
本研究介绍了一种混合加密框架,使用基于属性的加密和Blowfish密码来保护医疗保健物联网 (IoHT) 中的大数据. 这种新的方法提高了大规模医疗数据集的数据安全性和计算性能.
科学领域:
- 网络安全 网络安全
- 医疗信息学 医疗信息学
- 大数据分析大数据分析
背景情况:
- 医疗保健物联网 (IoHT) 环境产生了大量敏感的大数据.
- 现有的数据安全措施,如Hadoop分布式文件系统 (HDFS) 加密,对大规模的医疗数据集有局限性.
- 传统的加密算法难以满足IoHT大数据的性能和安全要求.
研究的目的:
- 提出一种新的混合加密框架,以提高IoHT环境中的大数据的安全性.
- 解决现有加密技术对大规模医疗数据的性能和安全限制.
- 改善IoHT基础设施内的异质医疗器械数据的计算处理和安全性.
主要方法:
- 开发了一个混合加密框架,将基于属性的加密 (ABE) 与Blowfish密码结合起来.
- 跨 IoHT 基础设施的异质医疗设备生成的安全数据.
- 与已有的混合方案 (CP-ABE + HE,HE + BF,CP-ABE + AES) 进行对比.
主要成果:
- 与现有方法相比,拟议的混合方案表现出优越的性能.
- 实现了98.5%的最高系统效率.
- 记录的加密和解密时间分别为6.8分钟和5.7分钟.
结论:
- 混合加密框架有效地提高了IoHT环境中的大数据的安全性.
- 拟议的方法为处理大规模医疗数据集提供了更好的计算性能.
- 这种方法为在连接的医疗保健系统中保护敏感健康信息提供了强大的解决方案.
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