
FOLLOWUS
School of Computer Science, Shaanxi Normal University, Xi'an 710119, China
School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China
State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing 100093, China
School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China
[ "Xin WANG, E-mail: wangxin@sust.edu.cn" ]
Bo YANG, E-mail: byang@snnu.edu.cn
收稿:2018-01-23,
修回:2019-;6-11,
纸质出版:2019-06
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王鑫, 杨波, 夏喆, 等. 一种基于Chaum-Pedersen协议的欺骗可检测云存储数据共享协议[J]. 信息与电子工程前沿(英文), 2019,20(6):787-800.
Xin WANG, Bo YANG, Zhe XIA, et al. A secure data sharing scheme with cheating detection based on Chaum-Pedersen protocol for cloud storage[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(6): 787-800.
王鑫, 杨波, 夏喆, 等. 一种基于Chaum-Pedersen协议的欺骗可检测云存储数据共享协议[J]. 信息与电子工程前沿(英文), 2019,20(6):787-800. DOI: 10.1631/FITEE.1800066.
Xin WANG, Bo YANG, Zhe XIA, et al. A secure data sharing scheme with cheating detection based on Chaum-Pedersen protocol for cloud storage[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(6): 787-800. DOI: 10.1631/FITEE.1800066.
随着云计算技术的发展,数据可外包给云,方便用户共享。然而,用户常常担心其数据在云端的可靠性和完整性。因此,在云端提供安全的数据共享服务至关重要。本文将门限秘密共享技术和Chaum-Pedersen零知识证明相结合,提出一种可靠、安全的云数据共享方案。该方案不仅有效、灵活、语义安全,还能有效识别行为不诚实的欺骗者身份,确保合法用户解密密钥的安全。相比而言,该方案计算性能较好,尤其适合云端用户医疗保险数据保护。
With the development of cloud computing technology
data can be outsourced to the cloud and conveniently shared among users. However
in many circumstances
users may have concerns about the reliability and integrity of their data. It is crucial to provide data sharing services that satisfy these security requirements. We introduce a reliable and secure data sharing scheme
using the threshold secret sharing technique and the Chaum-Pedersen zero-knowledge proof. The proposed scheme is not only effective and flexible
but also able to achieve the semantic security property. Moreover
our scheme is capable of ensuring accountability of users' decryption keys as well as cheater identification if some users behave dishonestly. The efficiency analysis shows that the proposed scheme has a better performance in terms of computational cost
compared with the related work. It is particularly suitable for application to protect users' medical insurance data over the cloud.
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