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User collusion avoidance scheme for privacy-preserving decentralized key-policy attribute-based encryption
journal contribution
posted on 2016-11-04, 14:56 authored by Yogachandran RahulamathavanYogachandran Rahulamathavan, Suresh Veluru, Jinguang Han, Fei Li, Muttukrishnan Rajarajan, Rongxing LuDecentralized attribute-based encryption (ABE) is a variant of multi-authority based ABE whereby any attribute authority (AA) can independently join and leave the system without collaborating with the existing AAs. In this paper, we propose a user collusion avoidance scheme which preserves the user's privacy when they interact with multiple authorities to obtain decryption credentials. The proposed scheme mitigates the well-known user collusion security vulnerability found in previous schemes. We show that our scheme relies on the standard complexity assumption (decisional bilienar Deffie-Hellman assumption). This is contrast to previous schemes which relies on non-standard assumption (q-decisional Diffie-Hellman inversion).
Funding
This work was supported by the Engineering and Physical Sciences Research Council of the U.K. under EPSRC Grant EP/K03345X/1 and National Natural Science Foundation of China under Grant 61300213.
History
School
- Loughborough University London
Published in
IEEE Transactions on ComputersVolume
65Issue
9Pages
2939 - 2946Citation
RAHULAMATHAVAN, Y. ... et al, 2015. User collusion avoidance scheme for privacy-preserving decentralized key-policy attribute-based encryption. IEEE Transactions on Computers, 65 (9), pp. 2939-2946.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publication date
2015Notes
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.ISSN
0018-9340Publisher version
Language
- en