A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT
A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT
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DOI：
10.1109/access.2017.2677520
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发表时间：
2017-01-01
期刊：
影响因子：
3.9
通讯作者：
Ghorbani, Ali A.
中科院分区：
文献类型：
--
作者：
Lu, Rongxing;Heung, Kevin;Ghorbani, Ali A.
雾计算增强的物联网（IoT）最近受到了广泛关注，因为在网络边缘部署的雾设备不仅可以提供低延迟，位置意识，而且还可以改善物联网应用程序中的实时和服务质量。隐私数据汇总是物联网中典型的雾计算应用程序之一，在过去几年中，已经提出了许多隐私数据聚合方案。但是，其中大多数仅支持同质IoT设备的数据聚合，并且无法将混合物IoT设备的数据汇总到某些实际的IoT应用程序中。为了应对这一挑战，在本文中，我们提出了一种轻巧的隐私数据聚合方案，称为“轻巧隐私数据聚合”，用于雾计算增强物联网。所提出的LPDA的特征是将同态Paillier加密，中国剩余定理和单向哈希链技术不仅将混合物IoT设备的数据汇总到一个，还将早期过滤器注入网络边缘的错误数据。详细的安全性分析表明，LPDA确实具有差异隐私技术的安全性和隐私性增强。此外，进行了广泛的性能评估，结果表明LPDA在雾计算增强物联网中确实很轻。
Fog computing-enhanced Internet of Things (IoT) has recently received considerable attention, as the fog devices deployed at the network edge can not only provide low latency, location awareness but also improve real-time and quality of services in IoT application scenarios. Privacy-preserving data aggregation is one of typical fog computing applications in IoT, and many privacy-preserving data aggregation schemes have been proposed in the past years. However, most of them only support data aggregation for homogeneous IoT devices, and cannot aggregate hybrid IoT devices' data into one in some real IoT applications. To address this challenge, in this paper, we present a lightweight privacy-preserving data aggregation scheme, called Lightweight Privacy-preserving Data Aggregation, for fog computing-enhanced IoT. The proposed LPDA is characterized by employing the homomorphic Paillier encryption, Chinese Remainder Theorem, and one-way hash chain techniques to not only aggregate hybrid IoT devices' data into one, but also early filter injected false data at the network edge. Detailed security analysis shows LPDA is really secure and privacy-enhanced with differential privacy techniques. In addition, extensive performance evaluations are conducted, and the results indicate LPDA is really lightweight in fog computing-enhanced IoT.