A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT Networks

For a smart healthcare system, a cloud based paradigm with numerous user terminals is to support and improve more reliable, convenient, and intelligent services. Considering the resource limitation of terminals and communication overhead in cloud paradigm, we propose a hybrid IoT-Fog-Cloud framework...

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Main Authors: Hui Li, Tao Jing
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2019/1019767
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spelling doaj-95b9f6b175c44983a9a0576c43770f0a2020-11-25T00:52:58ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772019-01-01201910.1155/2019/10197671019767A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT NetworksHui Li0Tao Jing1School of Computer and Information Technology, Beijing Jiaotong University, ChinaSchool of Electronics and Information Engineering, Beijing Jiaotong University, ChinaFor a smart healthcare system, a cloud based paradigm with numerous user terminals is to support and improve more reliable, convenient, and intelligent services. Considering the resource limitation of terminals and communication overhead in cloud paradigm, we propose a hybrid IoT-Fog-Cloud framework. In this framework, we deploy a geo-distributed fog layer at the edge of networks. The fogs can provide the local storage, sufficient processing power, and appropriate network functions. For the fog-based healthcare system, data confidentiality, access control, and secure searching over ciphertext are the key issues in sensitive data. Furthermore, how to adjust the storage and computing requirements to meet the limited resource is also a great challenge for data management. To address these, we design a lightweight keyword searchable encryption scheme with fine-grained access control for our proposed healthcare related IoT-Fog-Cloud framework. Through our design, the users can achieve a fast and efficient service by delegating a majority part of the workloads and storage requirements to fogs and the cloud without extra privacy leakage. We prove our scheme satisfies the security requirements and demonstrate the excellent efficiency through experimental evaluation.http://dx.doi.org/10.1155/2019/1019767
collection DOAJ
language English
format Article
sources DOAJ
author Hui Li
Tao Jing
spellingShingle Hui Li
Tao Jing
A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT Networks
Wireless Communications and Mobile Computing
author_facet Hui Li
Tao Jing
author_sort Hui Li
title A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT Networks
title_short A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT Networks
title_full A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT Networks
title_fullStr A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT Networks
title_full_unstemmed A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT Networks
title_sort lightweight fine-grained searchable encryption scheme in fog-based healthcare iot networks
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2019-01-01
description For a smart healthcare system, a cloud based paradigm with numerous user terminals is to support and improve more reliable, convenient, and intelligent services. Considering the resource limitation of terminals and communication overhead in cloud paradigm, we propose a hybrid IoT-Fog-Cloud framework. In this framework, we deploy a geo-distributed fog layer at the edge of networks. The fogs can provide the local storage, sufficient processing power, and appropriate network functions. For the fog-based healthcare system, data confidentiality, access control, and secure searching over ciphertext are the key issues in sensitive data. Furthermore, how to adjust the storage and computing requirements to meet the limited resource is also a great challenge for data management. To address these, we design a lightweight keyword searchable encryption scheme with fine-grained access control for our proposed healthcare related IoT-Fog-Cloud framework. Through our design, the users can achieve a fast and efficient service by delegating a majority part of the workloads and storage requirements to fogs and the cloud without extra privacy leakage. We prove our scheme satisfies the security requirements and demonstrate the excellent efficiency through experimental evaluation.
url http://dx.doi.org/10.1155/2019/1019767
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