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Cloud-based privacy-preserving aggregation architecture in multi-domain wireless networks

机译：多域无线网络中基于云的隐私保护聚合架构

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摘要

Enabling privacy preserving outsourced data aggregation is regarded as an important issue for multi-domain wireless networks. In this paper, we present a novel hybrid cloud-based privacy-preserving outsourced data aggregation framework. To achieve this, we introduce a hybrid storage cloud and aggregator cloud architecture, in which both of the storage clouds and aggregator cloud are assumed to be untrusted. On the basis of this security assumption, we firstly propose two novel basic protocols, including the proactive privacy-preserving aggregation and reactive privacy-preserving aggregation schemes, which are based on the idea of secret sharing. The proactive scheme allows the user to proactively split their data to multiple storage clouds to avoid data leaking while the reactive scheme allows the users to store their encrypted data in storage cloud and aggregator to finish the data aggregation based on the encrypted data. Moreover, on the basis of the proactive privacy-preserving data aggregation and reactive privacy-preserving data aggregation, we further propose an advanced protocol, which can resist the malicious data mining attack. The detailed performance simulations are given to demonstrate the security, effectiveness, and efficiency of the proposed scheme. Copyright (c) 2014 John Wiley & Sons, Ltd.
机译：对于多域无线网络而言，启用隐私保护外包数据聚合被视为重要问题。在本文中，我们提出了一种新型的基于混合云的隐私保护外包数据聚合框架。为此，我们引入了一种混合存储云和聚合器云体系结构，其中假定存储云和聚合器云都是不受信任的。在此安全假设的基础上，我们首先基于秘密共享的思想提出了两种新颖的基本协议，包括主动隐私保护聚合方案和反应性隐私保护聚合方案。主动方案允许用户将自己的数据主动拆分到多个存储云中，以避免数据泄漏，而被动方案则允许用户将其加密数据存储在存储云中，并且聚合器可以基于加密数据完成数据聚合。此外，在主动保护隐私数据聚合和被动保护隐私数据聚合的基础上，我们进一步提出了一种可以抵抗恶意数据挖掘攻击的高级协议。给出了详细的性能仿真，以证明所提出方案的安全性，有效性和效率。版权所有（c）2014 John Wiley＆Sons，Ltd.

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