DocumentCode
39421
Title
Privacy Preserving Delegated Access Control in Public Clouds
Author
Nabeel, Mohamed ; Bertino, Elisa
Author_Institution
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
Volume
26
Issue
9
fYear
2014
fDate
Sept. 2014
Firstpage
2268
Lastpage
2280
Abstract
Current approaches to enforce fine-grained access control on confidential data hosted in the cloud are based on fine-grained encryption of the data. Under such approaches, data owners are in charge of encrypting the data before uploading them on the cloud and re-encrypting the data whenever user credentials change. Data owners thus incur high communication and computation costs. A better approach should delegate the enforcement of fine-grained access control to the cloud, so to minimize the overhead at the data owners, while assuring data confidentiality from the cloud. We propose an approach, based on two layers of encryption, that addresses such requirement. Under our approach, the data owner performs a coarse-grained encryption, whereas the cloud performs a fine-grained encryption on top of the owner encrypted data. A challenging issue is how to decompose access control policies (ACPs) such that the two layer encryption can be performed. We show that this problem is NP-complete and propose novel optimization algorithms. We utilize an efficient group key management scheme that supports expressive ACPs. Our system assures the confidentiality of the data and preserves the privacy of users from the cloud while delegating most of the access control enforcement to the cloud.
Keywords
authorisation; cloud computing; cryptography; data privacy; NP-complete problem; coarse-grained encryption; data confidentiality; fine-grained encryption; group key management scheme; optimization algorithms; privacy preserving delegated access control; public clouds; Access control; Cloud computing; Encryption; Privacy; Protocols; Privacy; access control; cloud computing; encryption; identity; policy decomposition;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/TKDE.2013.68
Filename
6509875
Link To Document