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Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage
Smart sensor-equipped mobile devices sense, collect, and process data generated by the edge network to achieve intelligent control, but such mobile devices usually have limited storage and computing resources. Mobile cloud storage provides a promising solution owing to its rich storage resources, gr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948675/ https://www.ncbi.nlm.nih.gov/pubmed/29652810 http://dx.doi.org/10.3390/s18041189 |
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author | Guo, Yeting Liu, Fang Cai, Zhiping Xiao, Nong Zhao, Ziming |
author_facet | Guo, Yeting Liu, Fang Cai, Zhiping Xiao, Nong Zhao, Ziming |
author_sort | Guo, Yeting |
collection | PubMed |
description | Smart sensor-equipped mobile devices sense, collect, and process data generated by the edge network to achieve intelligent control, but such mobile devices usually have limited storage and computing resources. Mobile cloud storage provides a promising solution owing to its rich storage resources, great accessibility, and low cost. But it also brings a risk of information leakage. The encryption of sensitive data is the basic step to resist the risk. However, deploying a high complexity encryption and decryption algorithm on mobile devices will greatly increase the burden of terminal operation and the difficulty to implement the necessary privacy protection algorithm. In this paper, we propose ENSURE (EfficieNt and SecURE), an efficient and secure encrypted search architecture over mobile cloud storage. ENSURE is inspired by edge computing. It allows mobile devices to offload the computation intensive task onto the edge server to achieve a high efficiency. Besides, to protect data security, it reduces the information acquisition of untrusted cloud by hiding the relevance between query keyword and search results from the cloud. Experiments on a real data set show that ENSURE reduces the computation time by 15% to 49% and saves the energy consumption by 38% to 69% per query. |
format | Online Article Text |
id | pubmed-5948675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59486752018-05-17 Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage Guo, Yeting Liu, Fang Cai, Zhiping Xiao, Nong Zhao, Ziming Sensors (Basel) Article Smart sensor-equipped mobile devices sense, collect, and process data generated by the edge network to achieve intelligent control, but such mobile devices usually have limited storage and computing resources. Mobile cloud storage provides a promising solution owing to its rich storage resources, great accessibility, and low cost. But it also brings a risk of information leakage. The encryption of sensitive data is the basic step to resist the risk. However, deploying a high complexity encryption and decryption algorithm on mobile devices will greatly increase the burden of terminal operation and the difficulty to implement the necessary privacy protection algorithm. In this paper, we propose ENSURE (EfficieNt and SecURE), an efficient and secure encrypted search architecture over mobile cloud storage. ENSURE is inspired by edge computing. It allows mobile devices to offload the computation intensive task onto the edge server to achieve a high efficiency. Besides, to protect data security, it reduces the information acquisition of untrusted cloud by hiding the relevance between query keyword and search results from the cloud. Experiments on a real data set show that ENSURE reduces the computation time by 15% to 49% and saves the energy consumption by 38% to 69% per query. MDPI 2018-04-13 /pmc/articles/PMC5948675/ /pubmed/29652810 http://dx.doi.org/10.3390/s18041189 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Guo, Yeting Liu, Fang Cai, Zhiping Xiao, Nong Zhao, Ziming Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage |
title | Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage |
title_full | Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage |
title_fullStr | Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage |
title_full_unstemmed | Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage |
title_short | Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage |
title_sort | edge-based efficient search over encrypted data mobile cloud storage |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948675/ https://www.ncbi.nlm.nih.gov/pubmed/29652810 http://dx.doi.org/10.3390/s18041189 |
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