More Web Proxy on the site http://driver.im/

article

A Publicly Verifiable Dynamic Secret Sharing Protocol for Secure and Dependable Data Storage in Cloud Computing

Authors:

Marie Stanislas Ashok,

R. SubramanianAuthors Info & Claims

International Journal of Cloud Applications and Computing, Volume 2, Issue 3

Pages 1 - 25

https://doi.org/10.4018/ijcac.2012070101

Published: 01 July 2012 Publication History

Abstract

Data storage is an important application of cloud computing, where the users can remotely store their data into the cloud. This new paradigm of data storage service also introduces security challenges, such as Confidentiality, Integrity and Availability of data. The protection of these issues in cloud is a very challenging and potentially formidable task, especially for the users with constrained resources. Therefore, an independent auditing service is required to address these issues of data stored in the cloud. The existing schemes may not scale well for this purpose. This paper proposes a publicly verifiable dynamic secret sharing scheme for the Availability, Integrity and Confidentiality of data. Their scheme takes advantages of both Secret Sharing and Tornado code which can achieve the computational security and maintain low communication overhead in terms of shortened data dispersing size. The authors' model gives probabilistic proofs of Integrity of data by challenging random blocks from the server to reduce the computation and communication overhead, and also supports dynamic data operations to data shares in cloud using index table. Through extensive security analysis, their scheme can provide secure, dependable, and publicly verifiable cloud data storage in the Cloud against threats. Through the performance and experimental results, the authors prove that their scheme is efficient than existing schemes.

References

[1]

Amazon. 2008. Amazon Web Services AWS. Retrieved from http://aws.amazon.com

[2]

Apple. 2010. ICloud. Retrieved from http://www.apple.com/icloud/what-is.html

[3]

Barsoum, A. F.,&Hasan, M. A. 2010. Provable possession and replication of data over cloud servers. Waterloo, ON, Canada: Centre for Applied Cryptographic Research CACR, University of Waterloo. Retrieved from http://eprint.iacr.org/http://www.cacr.math.uwaterloo.ca/techreports/2010/cacr2010- 32.pdf

[4]

Bowers, K. D., Juels, A.,&Oprea, A. 2008. HAIL: A high-availability and integrity layer for cloud storage. In Proceedings of the 16th ACM Conference on Computer and Communications Security pp. 187-198.

[5]

Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J.,&Brandic, I. 2009. Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 256, 599-616.

Digital Library

[6]

Byes, J. W., Luby, M., Mitzenmacher, M.,&Rege, A. 2002. A digital fountain approach to asynchronous reliable multicast. IEEE Journal on Selected Areas in Communications, 208, 1528-1540.

[7]

Cellan-Jones, R. 2009. The sidekick cloud disaster. BBC News, 1.

[8]

Hao, Z.,&Yu, N. 2010. A multiple-replica remote data possession checking protocol with public verifiability. In Proceedings of the Second International Symposium on Data, Privacy, and E-Commerce pp. 84-89.

Digital Library

[9]

Hao, Z., Zhong, S.,&Yu, N. 2011. A privacy-preserving remote data integrity checking protocol with data dynamics and public verifiability. IEEE Transactions on Knowledge and Data Engineering, 239, 1432-1437.

[10]

Kan, Y.,&Jia, X. 2011. Data storage auditing service in cloud computing: Challenges, methods and opportunities. World Wide Web, 154, 409-428.

[11]

Krawczyk, H. 1993a. Secret sharing made short. In Proceedings of the 13th Annual International Cryptology Conference pp. 136-146.

[12]

Krawczyk, H. 1993b. Distributed fingerprints and secure information dispersal. In Proceedings of the 12th Annual ACM Symposium on Principles of Distributed Computing pp. 207-218.

[13]

Li, Q., Lui, J. C. S.,&Chiu, D.-M. 2012. On the security and efficiency of content distribution via network coding. IEEE Transactions on Dependable and Secure Computing, 92, 211-221.

[14]

Mather, T., Kumaraswamy, S.,&Latif, S. 2009. Cloud security and privacy. Sebastopol, CA: O'Reilly.

[15]

Matossian, V.,&Parashar, M. 2003. Enabling peer-to-peer interactions for scientific applications on the grid. In H. Kosch, L. Bööszörményi,&H. Hellwagner Eds., Proceedings of the Ninth International Euro-Par Conference on Parallel Processing LNCS 2790, pp. 1240-1247.

[16]

Miller, R. 2010, May 10. Amazon addresses EC2 power outages. Data Center Knowledge.

[17]

Rabin, M. 1989. Efficient dispersal of information for security, loadbalancing, and fault tolerance. Journal of the ACM, 362, 335-348.

Digital Library

[18]

Ren, W., Ren, Y.,&Zhag, H. 2010. Secure, dependable and publicly verifiable distributed data storage in unattended wireless sensor networks. Science China . Information Sciences, 535, 964-979.

[19]

Shamir, A. 1979. How to share a secret. Communications of the ACM, 2211, 612-613.

Digital Library

[20]

Syam, K. P.,&Subramanian, R. 2011a. Homomorpic distributed verification ptorotocol for ensuring data storage security in cloud computing. Journal of Information, 1410, 3465-3476.

[21]

Syam, K. P.,&Subramanian, R. 2011b. An efficient and secure protocol for ensuring data storage security in cloud computing. International Journal of Computer Science Issues, 86, 261-274.

[22]

Takabi, H., Joshi, J. B. D.,&Ahn, G. 2010. Security and privacy challenges in cloud computing environments. IEEE Transactions on Security and Privacy, 86, 24-31.

Digital Library

[23]

Tu, M., Li, P.,&Yen, I. 2010. Secure data objects replication in data grid. IEEE Transactions on Dependable and Secure Computing, 71, 50-64.

[24]

Wang, C., Wang, Q., Ren, K., Cao, N.,&Lou, W. 2012. Towards secure and dependable storage services in cloud computing. IEEE Transactions on Service Computing, 52, 220-232.

Digital Library

[25]

Wang, C., Wang, Q., Ren, K.,&Lou, W. 2011, March. Privacy-preserving public auditing for data storage security in cloud computing. In Proceedings of the IEEE International Conference INFOCOM, San Diego, CA pp. 1-9.

[26]

Wang, Q., Ren, K., Yu, S.,&Lou, W. 2011. Dependable and secure sensor data storage with dynamic Integrity assurance. ACM Transactions on Sensor Networks, 81, article 9.

[27]

Wang, Q., Wang, C., Li, J., Ren, K.,&Lou, W. 2011. Enabling public verifiability and data dynamics for storage security in cloud computing. IEEE Transactions on Parallel and Distributed Systems, 225, 355-370.

[28]

Xiao, L., Yen, I., Zhang, Y.,&Bastani, F. 2007. Evaluating dependable distributed storage systems. In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications.

[29]

Yang, J., Wang, H., Wang, J., Tan, C.,&Yu, D. 2011. Provable data possession of resource-constrained mobile devices in cloud computing. Journal of Networks, 67, 1033-1040.

[30]

Ye, Y., Yen, I., Xiao, L.,&Bastani, F. 2010. Secure, dependable and high performance cloud storage Tech. Rep. No. UTDCS-10-10. In Proceedings of the 29th IEEE Symposium on Reliable Distributed Systems pp. 194-203.

Digital Library

[31]

Zhu, Y., Wang, H., Hu, Z., Ahn, G., Hu, H.,&Yau, S. 2011, March 21-24. Dynamic audit services for integrity verification of outsourced storages in clouds. In Proceedings of the 26th ACM Symposium on Applied Computing, TaiChung, Taiwan.

Cited By

Yathongkhum WLaosiritaworn YBootkrajang JTreeratpituk PChaijaruwanich J(2024)Economic and financial news hybrid- classification based on category-associated feature setIntelligent Data Analysis10.3233/IDA-23737328:1(185-201)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDA-237373
Ahmad ZBrowne RChowdhury RDas RHuang YZhu YLee IChabbi MSteuwer M(2024)Fast American Option Pricing using Nonlinear StencilsProceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming10.1145/3627535.3638506(316-332)Online publication date: 2-Mar-2024
https://dl.acm.org/doi/10.1145/3627535.3638506
Banihashemi SGhasemifard ABabaei A(2024)On the Numerical Option Pricing Methods: Fractional Black-Scholes Equations with CEV AssetsComputational Economics10.1007/s10614-023-10482-464:3(1463-1488)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10614-023-10482-4
Show More Cited By

A Publicly Verifiable Dynamic Secret Sharing Protocol for Secure and Dependable Data Storage in Cloud Computing
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures

Recommendations

Paillier-based publicly verifiable (non-interactive) secret sharing

A verifiable secret sharing is a secret sharing scheme with an untrusted dealer that allows participants to verify validity of their own shares. A publicly verifiable secret sharing (PVSS) scheme is a verifiable secret sharing scheme that allows a third ...
An Efficient Distributed Verification Protocol for Data Storage Security in Cloud Computing
ADCONS '13: Proceedings of the 2013 2nd International Conference on Advanced Computing, Networking and Security

Data storage is an important application of cloud computing, where clients can remotely store their data into the cloud. By uploading their data into the cloud, clients can be relieved from the burden of local data storage and maintenance. This new ...
Middleware enabled data sharing on cloud storage services
MW4SOC '10: Proceedings of the 5th International Workshop on Middleware for Service Oriented Computing

With the emergence of public cloud storage platforms like Amazon, Microsoft and Google etc, individual applications and some enterprise storage are being increasingly deployed on Clouds. However, dynamic data sharing in public clouds face problems of ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image International Journal of Cloud Applications and Computing

International Journal of Cloud Applications and Computing Volume 2, Issue 3

July 2012

109 pages

ISSN:2156-1834

EISSN:2156-1826

Issue’s Table of Contents

Publisher

IGI Global

United States

Publication History

Published: 01 July 2012

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Yathongkhum WLaosiritaworn YBootkrajang JTreeratpituk PChaijaruwanich J(2024)Economic and financial news hybrid- classification based on category-associated feature setIntelligent Data Analysis10.3233/IDA-23737328:1(185-201)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDA-237373
Ahmad ZBrowne RChowdhury RDas RHuang YZhu YLee IChabbi MSteuwer M(2024)Fast American Option Pricing using Nonlinear StencilsProceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming10.1145/3627535.3638506(316-332)Online publication date: 2-Mar-2024
https://dl.acm.org/doi/10.1145/3627535.3638506
Banihashemi SGhasemifard ABabaei A(2024)On the Numerical Option Pricing Methods: Fractional Black-Scholes Equations with CEV AssetsComputational Economics10.1007/s10614-023-10482-464:3(1463-1488)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10614-023-10482-4
Aghdam YMesgarani HAmin AGómez-Aguilar J(2024)An Efficient Numerical Scheme to Approach the Time Fractional Black–Scholes Model Using Orthogonal Gegenbauer PolynomialsComputational Economics10.1007/s10614-023-10444-w64:1(211-224)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s10614-023-10444-w
Mollahasani N(2024)A Hybrid Spectral-Finite Difference Method for Numerical Pricing of Time-Fractional Black–Scholes EquationComputational Economics10.1007/s10614-023-10441-z64:2(841-869)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s10614-023-10441-z
Mohapatra JSantra SRamos H(2024)Analytical and Numerical Solution for the Time Fractional Black-Scholes Model Under Jump-DiffusionComputational Economics10.1007/s10614-023-10386-363:5(1853-1878)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s10614-023-10386-3
Zhang MZheng X(2023)Numerical Approximation to a Variable-Order Time-Fractional Black–Scholes Model with Applications in Option PricingComputational Economics10.1007/s10614-022-10295-x62:3(1155-1175)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1007/s10614-022-10295-x
Bajalan SBajalan N(2021)Novel ANN Method for Solving Ordinary and Time-Fractional Black–Scholes EquationComplexity10.1155/2021/55113962021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/5511396
Soleymani MMahdavifar H(2020)Distributed Multi-User Secret SharingIEEE Transactions on Information Theory10.1109/TIT.2020.302819467:1(164-178)Online publication date: 18-Dec-2020
https://dl.acm.org/doi/10.1109/TIT.2020.3028194
Golbabai ANikan O(2019)A Computational Method Based on the Moving Least-Squares Approach for Pricing Double Barrier Options in a Time-Fractional Black–Scholes ModelComputational Economics10.1007/s10614-019-09880-455:1(119-141)Online publication date: 2-Feb-2019
https://dl.acm.org/doi/10.1007/s10614-019-09880-4
Show More Cited By

View Options

View options

Figures

Tables

Media

View Issue’s Table of Contents