HASBE: A Hierarchical Attribute-Based Solution for Flexible and Scalable Access Control in Cloud Computing

• Published in: IEEE transactions on information forensics and security Vol. 7; no. 2; pp. 743 - 754
• Main Authors: Zhiguo Wan, Jun'e Liu, Deng, R. H.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2012; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Access control; Cloud computing; Computation; Computer information security; data security; Educational institutions; Encryption; Flexibility; Information technology; Scalability; Security; Studies
• ISSN: 1556-6013; 1556-6021
• DOI: 10.1109/TIFS.2011.2172209

Cloud computing has emerged as one of the most influential paradigms in the IT industry in recent years. Since this new computing technology requires users to entrust their valuable data to cloud providers, there have been increasing security and privacy concerns on outsourced data. Several schemes employing attribute-based encryption (ABE) have been proposed for access control of outsourced data in cloud computing; however, most of them suffer from inflexibility in implementing complex access control policies. In order to realize scalable, flexible, and fine-grained access control of outsourced data in cloud computing, in this paper, we propose hierarchical attribute-set-based encryption (HASBE) by extending ciphertext-policy attribute-set-based encryption (ASBE) with a hierarchical structure of users. The proposed scheme not only achieves scalability due to its hierarchical structure, but also inherits flexibility and fine-grained access control in supporting compound attributes of ASBE. In addition, HASBE employs multiple value assignments for access expiration time to deal with user revocation more efficiently than existing schemes. We formally prove the security of HASBE based on security of the ciphertext-policy attribute-based encryption (CP-ABE) scheme by Bethencourt and analyze its performance and computational complexity. We implement our scheme and show that it is both efficient and flexible in dealing with access control for outsourced data in cloud computing with comprehensive experiments.