research-article

Efficient and Privacy-preserving Fog-assisted Health Data Sharing Scheme

Authors:

Xuemin (Sherman) ShenAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 10, Issue 6

Article No.: 68, Pages 1 - 23

https://doi.org/10.1145/3341104

Published: 24 October 2019 Publication History

Abstract

Pervasive data collected from e-healthcare devices possess significant medical value through data sharing with professional healthcare service providers. However, health data sharing poses several security issues, such as access control and privacy leakage, as well as faces critical challenges to obtain efficient data analysis and services. In this article, we propose an efficient and privacy-preserving fog-assisted health data sharing (PFHDS) scheme for e-healthcare systems. Specifically, we integrate the fog node to classify the shared data into different categories according to disease risks for efficient health data analysis. Meanwhile, we design an enhanced attribute-based encryption method through combination of a personal access policy on patients and a professional access policy on the fog node for effective medical service provision. Furthermore, we achieve significant encryption consumption reduction for patients by offloading a portion of the computation and storage burden from patients to the fog node. Security discussions show that PFHDS realizes data confidentiality and fine-grained access control with collusion resistance. Performance evaluations demonstrate cost-efficient encryption computation, storage and energy consumption.

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Index Terms

Efficient and Privacy-preserving Fog-assisted Health Data Sharing Scheme

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cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 10, Issue 6

Special Section on Intelligent Edge Computing for Cyber Physical and Cloud Systems and Regular Papers

November 2019

267 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/3368406

Editor:
Yu Zheng
JD Finance, China

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Copyright © 2019 ACM.

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Publication History

Published: 24 October 2019

Accepted: 01 June 2019

Revised: 01 May 2019

Received: 01 March 2019

Published in TIST Volume 10, Issue 6

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International Science 8 Technology Cooperation Program of China
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National Natural Science Foundation of China
China Hunan Provincial Science 8 Technology Program

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Cited By

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https://doi.org/10.1109/ICCCN61486.2024.10637601
Khan MTang ZCao WAbid YPan WUllah A(2023)Fuzzy-Based Efficient Healthcare Data Collection and Analysis Mechanism Using Edge Nodes in the IoMTSensors10.3390/s2318779923:18(7799)Online publication date: 11-Sep-2023
https://doi.org/10.3390/s23187799
Liu YZhou XKou HZhao YXu XZhang XQi L(2023)Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological TravelingACM Transactions on Intelligent Systems and Technology10.1145/362067715:4(1-17)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1145/3620677
Tian JWang YChen ZLuo XXu X(2023)Diagnose Like Doctors: Weakly Supervised Fine-Grained Classification of Breast CancerACM Transactions on Intelligent Systems and Technology10.1145/357203314:2(1-17)Online publication date: 16-Feb-2023
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Torre DChennamaneni ARodriguez A(2023)Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping StudyIEEE Access10.1109/ACCESS.2023.324552411(16323-16345)Online publication date: 2023
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Suganthi PKavitha R(2023)Secure and Privacy in Healthcare Data Using Quaternion-based Neural Network Cryptography with the Blockchain MechanismIETE Journal of Research10.1080/03772063.2023.222874369:10(6997-7014)Online publication date: 2-Jul-2023
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