Searchable Encryption Scheme for Personalized Privacy in IoT-Based Big Data

Clicks: 241
ID: 120436
2019
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Abstract
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.
Reference Key
li2019sensorssearchable Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shuai Li;Miao Li;Haitao Xu;Xianwei Zhou;Li, Shuai;Li, Miao;Xu, Haitao;Zhou, Xianwei;
Journal sensors
Year 2019
DOI
10.3390/s19051059
URL
https://www.mdpi.com/1424-8220/19/5/1059
Keywords
Internet of Things big data searchable encryption personalized privacy needs index indistinguishability trapdoor indistinguishability

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