一个新的基于缓存的私有集交叉协议通过轻量级忽略PRF
Jing Zhang1, Li Yang1, Yongli Tang1
1College of Software, Henan Polytechnic University, Jiaozuo 454000, China.
Entropy (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了一种高效的多方私人集交叉协议,使用无意识的伪随机函数来安全地共享边缘计算中的数据. 它可以实现协作边缘缓存,而不会泄露敏感信息.
科学领域:
- 密码学 密码学 密码学 密码学
- 分布式计算 (Distributed Computing) 是一种分布式计算.
- 信息安全 信息安全
背景情况:
- 边缘计算和物联网促进了信息共享的多方协作.
- 边缘计算中的合作增加引发了人们对数据泄露风险的担忧.
- 现有的解决方案可能无法充分平衡安全,通信和计算开销.
研究的目的:
- 提出一个高效的多方私人集交叉 (MPSI) 协议.
- 加强边缘计算环境中安全的信息资源共享.
- 将MPSI协议应用于边缘缓存的商业应用.
主要方法:
- 开发了一个MPSI协议,使用多点无意识的伪随机函数 (OPRF).
- 作为核心组件,采用了无视转移 (OT) 和弦的探针和XOR (PaXoS).
- 设计了一个沟通模式,客户与领导者和指定方进行互动.
主要成果:
- 该协议实现了单方面的恶意安全.
- 它在通信和计算成本之间提供了更好的平衡.
- 通过特定的客户沟通模式证明了效率.
- 能够在边缘缓存中识别常见的,经常访问的项目,而无需披露数据.
结论:
- 拟议的MPSI协议为边缘计算中的多方协作提供了一个高效和安全的解决方案.
- 边缘缓存中的应用程序允许发现常见项目,同时保持数据隐私.
- 该协议提出了一种实际的方法,以减轻协作环境中的数据泄露风险.
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