一个软件框架,用于在环境辅助技术的背景下对传感器数据的智能安全措施
Shakeel Ahmed1, Parvathaneni Naga Srinivasu2, Abdulaziz Alhumam1
1Department of Computer Science, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
本研究引入了环境辅助技术 (AAT) 的轻量级安全机制,以保护患者数据的机密性和完整性. 拟议的模型有效地加密数据并验证完整性,增强电子医疗安全性.
科学领域:
- 计算机科学 计算机科学
- 医疗保健技术 技术 医疗保健 技术
- 网络安全 网络安全
背景情况:
- 环境辅助技术 (AAT) 对电子医疗保健至关重要,提高了患者的护理和效率.
- 由于相互连接的传感器和敏感的患者数据,AAT系统面临重大安全风险,危及隐私,完整性和可用性.
- 考虑到AAT数据的数量和分布性质,确保数据的机密性和安全性是一项挑战.
研究的目的:
- 为环境辅助技术 (AAT) 提出一个轻量级的安全机制,以确保数据的机密性和完整性.
- 解决相互连接的医疗保健传感器固有的安全漏洞,并保护敏感的患者信息.
- 开发和分析一种新的安全模型,用于在AAT中安全地汇集和传输数据.
主要方法:
- 主节点使用数据聚合模型加密数据,通过独家基础系统和中国残余定理生成节点密钥.
- 在每个中间节点使用哈希函数验证数据完整性.
- 拟议模型的分层架构和分层服务被定义和分析.
主要成果:
- 安全机制有效地确保了AAT系统内的数据机密性和完整性.
- 分析了评估指标,包括能源消耗,网络延迟,开销,哈希生成时间和.
- 该模型在所有考虑的评估指标中显示出充分的性能.
结论:
- 拟议的轻量级安全机制有效地保护了环境辅助技术中的数据机密性和完整性.
- 这种方法提高了电子医疗系统的安全性,这对于保护敏感患者数据至关重要.
- 该模型为分布式AAT环境中的安全数据处理提供了可行的解决方案.
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