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A Lightweight Proxy Re-Encryption Approach with Certificate-Based and Incremental Cryptography for Fog-Enabled E-Healthcare

Authors: Junaid Hassan, Danish Shehzad, Insaf Ullah, Fahad Algarni, Muhammad Umar Aftab, Muhammad Asghar Khan, M. Irfan Uddin Academic Editor: Chinmay ChakrabortyAuthors Info & Claims

Security and Communication Networks, Volume 2021

https://doi.org/10.1155/2021/9363824

Published: 01 January 2021 Publication History

Abstract

Cloud computing aims to provide reliable, customized, and quality of service (QoS) guaranteed dynamic computing environments for end-users. However, there are applications such as e-health and emergency response monitoring that require quick response and low latency. Delays caused by transferring data over the cloud can seriously affect the performance and reliability of real-time applications. Before outsourcing e-health care data to the cloud, the user needs to perform encryption on these sensitive data to ensure its confidentiality. Conventionally, any modification to the user data requires encrypting the entire data and calculating the hash of the data from scratch. This data modification mechanism increases communication and computation costs over the cloud. The distributed environment of fog computing is used to overcome the limitations of cloud computing. This paper proposed a certificate-based incremental proxy re-encryption scheme (CB-PReS) for e-health data sharing in fog computing. The proposed scheme improves the file modification operations, i.e., updation, deletion, and insertion. The proposed scheme is tested on the iFogSim simulator. The iFogSim simulator facilitates the development of models for fog and IoT environments, and it also measures the impact of resource management techniques regarding network congestion and latency. Experiments depict that the proposed scheme is better than the existing schemes based on expensive bilinear pairing and elliptic curve techniques. The proposed scheme shows significant improvement in key generation and file modification time.

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Cited By

and Communication Networks S(2023)RetractedSecurity and Communication Networks10.1155/2023/97809062023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/9780906
Hassan JShehzad DHabib UAftab MAhmad MKuleev RMazzara M(2022)The Rise of Cloud ComputingComputational Intelligence and Neuroscience10.1155/2022/83035042022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8303504
Aftab MHamza AOluwasanmi ANie XSarfraz MShehzad DQin ZRafiq A(2022)Traditional and Hybrid Access Control ModelsSecurity and Communication Networks10.1155/2022/15608852022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1560885

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cover image Security and Communication Networks

Security and Communication Networks Volume 2021, Issue

2021

10967 pages

ISSN:1939-0114

EISSN:1939-0122

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Copyright © 2021 Junaid Hassan et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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John Wiley & Sons, Inc.

United States

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Published: 01 January 2021

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Cited By

and Communication Networks S(2023)RetractedSecurity and Communication Networks10.1155/2023/97809062023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/9780906
Hassan JShehzad DHabib UAftab MAhmad MKuleev RMazzara M(2022)The Rise of Cloud ComputingComputational Intelligence and Neuroscience10.1155/2022/83035042022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8303504
Aftab MHamza AOluwasanmi ANie XSarfraz MShehzad DQin ZRafiq A(2022)Traditional and Hybrid Access Control ModelsSecurity and Communication Networks10.1155/2022/15608852022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1560885

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