Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2018
Abstract
Traitor tracing scheme can be used to identify a decryption key is illegally used in public-key encryption. In CCS’13, Liu et al. proposed an attribute-based traitor tracing (ABTT) scheme with blackbox traceability which can trace decryption keys embedded in a decryption blackbox/device rather than tracing a well-formed decryption key. However, the existing ABTT schemes with blackbox traceability are based on composite order group and the size of the decryption key depends on the policies and the number of system users. In this paper, we revisit blackbox ABTT and introduce a new primitive called attribute-based set encryption (ABSE) based on key-policy ABE (KP-ABE) and identity-based set encryption (IBSE), which allows aggregation of multiple related policies and reduce the decryption key size in ABTT to be irrelevant to the number of system users. We present a generic construction of the ABTT scheme from our proposed ABSE scheme and fingerprint code based on the Boneh-Naor paradigm in CCS’08. We then give a concrete construction of the ABSE scheme which can be proven secure in the random oracle model under the decisional BDH assumption and a variant of q-BDHE assumption.
Keywords
Public-key cryptosystems, Attribute-based encryption, Blackbox traceability
Discipline
Computer and Systems Architecture | Programming Languages and Compilers
Publication
Proceedings of the 12th International Conference, ProvSec 2018, Jeju, South Korea, October 25–28
First Page
182
Last Page
200
Identifier
10.1007%2F978-3-030-01446-9_11
Publisher
Springer Link
City or Country
Jeju, South Korea
Citation
XU, Shengmin; YANG, Guomin; MU, Yi; and LIU, Ximeng.
Efficient attribute-based encryption with blackbox traceability. (2018). Proceedings of the 12th International Conference, ProvSec 2018, Jeju, South Korea, October 25–28. 182-200.
Available at: https://ink.library.smu.edu.sg/sis_research/5209
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007%2F978-3-030-01446-9_11