School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Sensors (Basel). 2019 Mar 1;19(5):1059. doi: 10.3390/s19051059.
The Internet of things (IoT) has become a significant part of our daily life. Composed of millions of intelligent devices, IoT can interconnect people with the physical world. With the development of IoT technology, the amount of data generated by sensors or devices is increasing dramatically. IoT-based big data has become a very active research area. One of the key issues in IoT-based big data is ensuring the utility of data while preserving privacy. In this paper, we deal with the protection of big data privacy in the data storage phase and propose a searchable encryption scheme satisfying personalized privacy needs. Our proposed scheme works for all file types including text, audio, image, video, etc., and meets different privacy needs of different individuals at the expense of high storage cost. We also show that our proposed scheme satisfies index indistinguishability and trapdoor indistinguishability.
物联网（IoT）已经成为我们日常生活中重要的一部分。由数以百万计的智能设备组成，物联网可以将人与物理世界连接起来。随着物联网技术的发展，传感器或设备生成的数据量正在急剧增加。基于物联网的大数据已经成为一个非常活跃的研究领域。基于物联网的大数据的关键问题之一是在保护隐私的同时确保数据的实用性。在本文中，我们处理在数据存储阶段保护大数据隐私的问题，并提出了一种满足个性化隐私需求的可搜索加密方案。我们的方案适用于包括文本、音频、图像、视频等在内的所有文件类型，并能以较高的存储成本满足不同个体的不同隐私需求。我们还表明，我们的方案满足索引不可区分性和陷门不可区分性。
