隐私保护基于物联网的群众传感网络与相似的同型加密及其在打击COVID19中的应用
Daxin Huang1, Qingqing Gan2, Xiaoming Wang1
1Department of Computer Science, Jinan University, Guangzhou, 510632, China.
概括
本研究为物联网群众传感网络引入了可比的同型加密 (CompHE),使得数据可以安全地进行比较. 新计划提供实用,保护隐私的联系人追踪和社交距离应用程序,优于现有方法.
科学领域:
- 密码学和网络安全
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 数据 隐私 数据 隐私 数据
背景情况:
- 基于物联网的群众传感网络在数据收集方面越来越受欢迎,但由于敏感数据传输而面临隐私风险.
- 同型加密 (HE) 能够对加密数据进行计算,从而使隐私保护群众传感成为可能.
- 高效的加密文本比较对于基于HE的方案中的安全数据处理至关重要,但往往缺乏.
研究的目的:
- 为物联网群众传感网络提出新的可比同型加密 (CompHE) 方案.
- 为了实现多个用户之间的高效和安全的加密文本比较.
- 展示公共卫生中的实际应用,如COVID-19接触者追踪和社会距离.
主要方法:
- 开发使用拉格朗日插值技术的CompHE方案.
- 拟议方案的安全证明.
- 绩效分析,以评估可行性和效率.
主要成果:
- 拟议的CompHE方案可以在物联网群众传感网络中进行高效的加密文本比较.
- 安全分析证实了这些方案的稳定性,在半诚实模型中提供防或安全性.
- 绩效评估显示,与现有方案相比,有显著的改进,需要更少的模块指数化.
结论:
- 开发的CompHE方案为保护隐私的数据聚合和比较在物联网群众传感中提供了实用和安全的解决方案.
- 这些方案适用于关键的公共卫生场景,如联系人追踪和社交距离,减轻隐私问题.
- 这项研究通过提供更安全和更有效的可比同态加密方法来推动该领域的发展.
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