Title
Ensuring attribute privacy protection and fast decryption for outsourced data security in mobile cloud computing.
Abstract
Although many users outsource their various data to clouds, data security and privacy concerns are still the biggest obstacles that hamper the widespread adoption of cloud computing. Anonymous attribute-based encryption (anonymous ABE) enables fine-grained access control over cloud storage and preserves receivers’ attribute privacy by hiding attribute information in ciphertexts. However, in existing anonymous ABE work, a user knows whether attributes and a hidden policy match or not only after repeating decryption attempts. And, each decryption usually requires many pairings and the computation overhead grows with the complexity of the access formula. Hence, existing schemes suffer a severe efficiency drawback and are not suitable for mobile cloud computing where users may be resource-constrained.
Year
DOI
Venue
2017
10.1016/j.ins.2016.04.015
Information Sciences
Keywords
Field
DocType
Cloud computing,Attribute-based encryption,Privacy protection,Anonymity,Fast decryption
Mobile cloud computing,Data security,Computer security,Computer science,Attribute-based encryption,Encryption,Anonymity,Public-key cryptography,Cloud storage,Cloud computing
Journal
Volume
ISSN
Citations 
379
0020-0255
74
PageRank 
References 
Authors
1.65
30
6
Name
Order
Citations
PageRank
Yinghui Zhang146828.80
Xiaofeng Chen22603141.37
Jin Li34886213.21
Duncan S. Wong42653152.19
Hui Li581492.33
Ilsun You6979123.32