Security-Enhanced Data Sharing Model for Cloud-Edge Collaborative Network

Cloud-edge collaborative network is a promising paradigm for data sharing in Internet of Things (IoT). However, data services of the cloud server and edge nodes are provided by interest-oriented third parties, making it crucial to protect user privacy while sharing data. There are two main problems with existing schemes. On the one hand, most schemes focus on solving a certain aspect of issues and lack overall guidance on secure data sharing. On the other hand, terminal devices in cloud-edge collaborative network are susceptible to physical attacks, which may lead to the failure of traditional security schemes. To address the above issues, we present a security-enhanced data sharing model for cloud-edge collaborative network, which considers the security threats faced by main processes in cloud-edge data sharing as a whole. This model integrates mutual authentication mechanism, multi-dimensional access control mechanism, and ciphertext retrieval mechanism, and designs a physically secure key management scheme based on physical unclonable function (PUF) to provide protection against physical attacks. The proposed model can macroscopically solve the security issues faced by cloud-edge data sharing, which provides theoretical support for subsequent research.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/iccc62609.2024.10941959
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.00
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Security-Enhanced Data Sharing Model for Cloud-Edge Collaborative Network

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article

Security-Enhanced Data Sharing Model for Cloud-Edge Collaborative Network

Sensen Li, Fang Chen, Zhijie Wang, Bin Yu, Jun Tang
article en

Abstract

Cloud-edge collaborative network is a promising paradigm for data sharing in Internet of Things (IoT). However, data services of the cloud server and edge nodes are provided by interest-oriented third parties, making it crucial to protect user privacy while sharing data. There are two main problems with existing schemes. On the one hand, most schemes focus on solving a certain aspect of issues and lack overall guidance on secure data sharing. On the other hand, terminal devices in cloud-edge collaborative network are susceptible to physical attacks, which may lead to the failure of traditional security schemes. To address the above issues, we present a security-enhanced data sharing model for cloud-edge collaborative network, which considers the security threats faced by main processes in cloud-edge data sharing as a whole. This model integrates mutual authentication mechanism, multi-dimensional access control mechanism, and ciphertext retrieval mechanism, and designs a physically secure key management scheme based on physical unclonable function (PUF) to provide protection against physical attacks. The proposed model can macroscopically solve the security issues faced by cloud-edge data sharing, which provides theoretical support for subsequent research.

PLA Information Engineering University (CN), China Tobacco (CN)
Openalex Percentile: Top 74%
Cognitive Computing and Networks
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