Abstract
The problem of data retrieval from cloud environment has been discussed in many articles. However, restricting the cloud users from illegal access is identified as a challenging issue. Toward the problem of access restriction, different attribute-based approaches have been discussed earlier but suffer to achieve higher performance in data retrieval also. To solve this issue, an efficient real-time hierarchical sensitivity measure-based access restriction and data retrieval algorithm is presented in this paper. The method classifies the cloud data into different classes according to their importance, and for each user taxonomy of access has been maintained. At the query time, the method estimates hierarchical sensitivity support (HSS) according to the data items being accessed. Based on the HSS on each level, a cumulative data retrieval support (CDRS) is estimated. Estimated CDRS value has been used to perform access restriction and data retrieval. The proposed method improves the performance of data retrieval and access restriction.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
W. Teng, G. Yang, Attribute-based access control with constant-size ciphertext in cloud computing. IEEE Cloud Comput. (99), 1 (2015). https://doi.org/10.1109/TCC.2015.2440247
J. Luo, A novel role-based access control model in cloud environments. IJCIS 9(1) (2016)
L. Xie, C. Wang, Cloud multidomain access control model based on role and trust-degree. Hindawi Electr. Comput. Eng. 2016 (2016)
K. Yang, Time-domain attribute-based access control for cloud-based video content sharing: a cryptographic approach. IEEE Multimedia 18(5) (2016)
J. Kim, S. Nepal, A cryptographically enforced access control with a flexible user revocation on untrusted cloud storage. Data Sci. Eng. 1(3), 149–160 (2016)
M. Sookhaka, F. Richard Yua, Attribute-based data access control in mobile cloud computing Taxonomy and open issues. Future Gener. Comput. Syst. 72(2017), 273–287 (2017), Elsevier
B. SrinivasaRao, A framework for predicate based access control policies in infrastructure as a service cloud. IJERA 6(2), 36–44 (2016)
N. Paladi, Providing user security guarantees in public infrastructure clouds. IEEE Cloud Comput. 5(3) (2017)
J. Luna, Quantitative reasoning about cloud security using service level agreements. IEEE Cloud Comput. 3(5) (2017)
Z. Yan, Flexible data access control based on trust and reputation in cloud computing. IEEE Cloud Comput. 5(3) (2017)
K. Fan, Privacy protection based access control scheme in cloud-based services. IEEE China Commun. 14(3) (2017)
Y. Zhu, Towards Temporal Access Control in Cloud Computing (IEEE, INFOCOM, 2012)
Z. Zen, Keyword search with access control over encrypted cloud data. IEEE Sens. J. 17(3) (2017)
J. Wei, Secure and efficient attribute-based access control for multi-authority cloud storage. IEEE Syst. J. (99) (2017). https://doi.org/10.1109/JSYST.2016.2633559
J. Li, Fine-grained data access control systems with user accountability in cloud computing. Cloud-Computing (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Antonidoss, A. (2019). Real-Time Hierarchical Sensitivity Measure-Based Access Restriction for Efficient Data Retrieval in Cloud. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 862. Springer, Singapore. https://doi.org/10.1007/978-981-13-3329-3_18
Download citation
DOI: https://doi.org/10.1007/978-981-13-3329-3_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3328-6
Online ISBN: 978-981-13-3329-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)