基于移动社交网络的隐私增强最近邻搜索。

Privacy-Enhancing -Nearest Neighbors Search over Mobile Social Networks.

机构信息

School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China.

Software College, Northeastern University, Shenyang 110819, China.

出版信息

Sensors (Basel). 2021 Jun 9;21(12):3994. doi: 10.3390/s21123994.

Abstract

Focusing on the diversified demands of location privacy in mobile social networks (MSNs), we propose a privacy-enhancing -nearest neighbors search scheme over MSNs. First, we construct a dual-server architecture that incorporates location privacy and fine-grained access control. Under the above architecture, we design a lightweight location encryption algorithm to achieve a minimal cost to the user. We also propose a location re-encryption protocol and an encrypted location search protocol based on secure multi-party computation and homomorphic encryption mechanism, which achieve accurate and secure -nearest friends retrieval. Moreover, to satisfy fine-grained access control requirements, we propose a dynamic friends management mechanism based on public-key broadcast encryption. It enables users to grant/revoke others' search right without updating their friends' keys, realizing constant-time authentication. Security analysis shows that the proposed scheme satisfies adaptive L-semantic security and revocation security under a random oracle model. In terms of performance, compared with the related works with single server architecture, the proposed scheme reduces the leakage of the location information, search pattern and the user-server communication cost. Our results show that a decentralized and end-to-end encrypted -nearest neighbors search over MSNs is not only possible in theory, but also feasible in real-world MSNs collaboration deployment with resource-constrained mobile devices and highly iterative location update demands.

摘要

针对移动社交网络(MSN)中位置隐私的多样化需求,我们提出了一种增强隐私的 MSN 上最近邻居搜索方案。首先,我们构建了一个包含位置隐私和细粒度访问控制的双服务器架构。在上述架构下,我们设计了一种轻量级的位置加密算法,以使用户付出最小的代价。我们还提出了一种基于安全多方计算和同态加密机制的位置重加密协议和加密位置搜索协议,实现了准确和安全的最近邻居检索。此外,为了满足细粒度访问控制的要求,我们提出了一种基于公钥广播加密的动态好友管理机制。它使用户能够在不更新其好友密钥的情况下授予/撤销他人的搜索权限,实现了常数时间的认证。安全分析表明,所提出的方案在随机 oracle 模型下满足适应性 L-语义安全性和撤销安全性。在性能方面,与具有单服务器架构的相关工作相比,所提出的方案减少了位置信息、搜索模式和用户-服务器通信成本的泄露。我们的结果表明,在具有资源受限的移动设备和高度迭代位置更新需求的现实 MSN 协作部署中,不仅在理论上而且在实际中实现去中心化和端到端加密的 MSN 上最近邻居搜索是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce14/8229634/53195806f718/sensors-21-03994-g001.jpg

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