CLC number: TP309.2
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2019-06-11
Cited: 0
Clicked: 7818
Xin Wang, Bo Yang, Zhe Xia, Hong-xia Hou. 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.
@article{title="A secure data sharing scheme with cheating detection based on Chaum-Pedersen protocol for cloud storage",
author="Xin Wang, Bo Yang, Zhe Xia, Hong-xia Hou",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="20",
number="6",
pages="787-800",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1800066"
}
%0 Journal Article
%T A secure data sharing scheme with cheating detection based on Chaum-Pedersen protocol for cloud storage
%A Xin Wang
%A Bo Yang
%A Zhe Xia
%A Hong-xia Hou
%J Frontiers of Information Technology & Electronic Engineering
%V 20
%N 6
%P 787-800
%@ 2095-9184
%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1800066
TY - JOUR
T1 - A secure data sharing scheme with cheating detection based on Chaum-Pedersen protocol for cloud storage
A1 - Xin Wang
A1 - Bo Yang
A1 - Zhe Xia
A1 - Hong-xia Hou
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 20
IS - 6
SP - 787
EP - 800
%@ 2095-9184
Y1 - 2019
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1800066
Abstract: 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.
[1]Alhat RY, Kedari DB, Sangale BG, et al., 2014. Ensuring distributed accountability for data sharing in the cloud network. Int J Eng Res Technol, 3(2):494-501.
[2]Bloom BH, 1970. Space/time trade-offs in hash coding with allowable errors. Commun ACM, 13(7):422-426.
[3]Chaum D, Pedersen TP, 1992. Wallet databases with observers. 12th Annual Int Cryptology Conf on Advances in Cryptology, p.89-105.
[4]Dong X, Yu JD, Luo Y, et al., 2014. Achieving an effective, scalable and privacy-preserving data sharing service in cloud computing. Comput Secur, 42:151-164.
[5]Feng J, Yang LT, Dai GH, et al., 2018. A secure higher-order Lanczos-based orthogonal tensor SVD for big data reduction. IEEE Trans Big Data, in press.
[6]Fouque PA, Poupard G, Stern J, 2000. Sharing decryption in the context of voting or lotteries. Int Conf on Financial Cryptography, p.90-104.
[7]Hoshino H, Obana S, 2016. Cheating detectable secret sharing scheme suitable for implementation. 4th Int Symp on Computing and Networking, p.623-628. https://10.1109/CANDAR.2016.0112
[8]Kale P, Vaidya M, 2016. Key-aggregate cryptosystem for scalable data sharing in cloud storage. Imper J Int Res, 2(8):957-961.
[9]Lai JZ, Deng RH, Li YJ, 2012. Expressive CP-ABE with partially hidden access structures. 7th ACM Symp on Information, Computer and Communications Security, p.18-19.
[10]Li HR, Xiong L, Zhang LF, et al., 2014. DPSynthesizer: differentially private data synthesizer for privacy preserving data sharing. Proc VLDB Endowm, 7(13):1677-1680.
[11]Liang KT, Au MH, Liu JK, et al., 2014. A DFA-based functional proxy re-encryption scheme for secure public cloud data sharing. IEEE Trans Inform Forens Secur, 9(10):1667-1680.
[12]Liu Q, Wang GJ, Wu J, 2014. Time-based proxy re-encryption scheme for secure data sharing in a cloud environment. Inform Sci, 258:355-370.
[13]Liu XF, Zhang YQ, Wang BY, et al., 2013. Mona: secure multi-owner data sharing for dynamic groups in the cloud. IEEE Trans Parall Distrib Syst, 24(6):1182-1191.
[14]Mohammed N, Alhadidi D, Fung BCM, et al., 2014. Secure two-party differentially private data release for vertically partitioned data. IEEE Trans Depend Secur Comput, 11(1):59-71.
[15]Obana S, Tsuchida K, 2014. Cheating detectable secret sharing schemes supporting an arbitrary finite field. In: Yoshida M, Mouri K (Eds.), Advances in Information and Computer Security. Springer, Cham, p.88-97.
[16]Shamir A, 1979. How to share a secret. Commun ACM, 22(11):612-613.
[17]Shen J, Zhou TQ, He DB, et al., 2017. Block design-based key agreement for group data sharing in cloud computing. IEEE Trans Depend Secur Comput, in press.
[18]Xu SM, Yang GM, Mu Y, et al., 2018. Secure fine-grained access control and data sharing for dynamic groups in the cloud. IEEE Trans Inform Forens Secur, 3(8):2101-2113.
[19]Yang JJ, Li JQ, Niu Y, 2015. A hybrid solution for privacy preserving medical data sharing in the cloud environment. Fut Gener Comput Syst, 43-44:74-86.
[20]Yang LT, Huang GY, Feng J, et al., 2017. Parallel GNFS algorithm integrated with parallel block Wiedemann algorithm for RSA security in cloud computing. Inform Sci, 387:254-265.
[21]Yu SC, Wang C, Ren K, et al., 2010. Achieving secure, scalable, and fine-grained data access control in cloud computing. IEEE Int Conf on Computer Communications, p.1-9.
Open peer comments: Debate/Discuss/Question/Opinion
<1>