Secure Provenance for Data Forensics with Efficient Revocation of Anonymous Credentials in Cloud Computing-Reference-Cited by-同舟云学术

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Secure Provenance for Data Forensics with Efficient Revocation of Anonymous Credentials in Cloud Computing

Published:2016-06-16 Issue:3 Volume:90 Page:1497-1517
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Wu Songyang,Zhang Yong^ORCID

Funder

National Natural Science Foundation of China

Information Security Special Program of National Development and Reform Commission

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-016-3406-6.pdf

Reference24 articles.

1. Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013). A survey of mobile cloud computing: Architecture, applications, and approaches. Wireless Communications and Mobile Computing, 13(18), 1587–1611.

2. Fernando, N., Loke, S.W., & Rahayu, W. (2013). Mobile cloud computing: A survey. Future Generation Computer Systems, 29(1), 84–106. Including Special section: AIRCC-NetCoM 2009 and Special section: Clouds and Service-Oriented Architectures.

3. Li, J., Chen, X., Huang, Q., & Wong, D. S. (2014). Digital provenance: Enabling secure data forensics in cloud computing. Future Generation Computer Systems, 37, 259–266.

4. Lu, R., Lin, X., Liang, X., & Shen, X. S. (2010). Secure provenance: The essential of bread and butter of data forensics in cloud computing. In Proceedings of the 5th ACM symposium on information, computer and communications security, ASIACCS ’10 (pp. 282–292). New York, NY: ACM.

5. Pearson, S. (2009). Taking account of privacy when designing cloud computing services. In Proceedings of the 2009 ICSE workshop on software engineering challenges of cloud computing, CLOUD ’09 (pp. 44–52). Washington, DC: IEEE Computer Society.

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