Optimal Black-Box Traceability in Decentralized Attribute-Based Encryption

With the advent of Cloud-storages, secure sharing of encrypted data with fine-grained access control has become an important challenge. To enforce fine-grained access rights on encrypted data to different users, Attribute-Base Encryption (ABE) is a promising cryptographic tool. But in many situation...

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Bibliographic Details
Published in:IEEE transactions on cloud computing 2023-07, Vol.11 (3), p.2459-2472
Main Authors: Nasiraee, Hassan, Ashouri-Talouki, Maede, Liu, Ximeng
Format: Article
Language:English
Subjects:
Access control
Attribute based encryption
Black boxes
Cloud computing
Complexity
Complexity theory
Cryptography
data-sharing
Decoders
Decoding
Encryption
Pay-TV systems
Piracy
Proposals
Queries
Resistance
Smartphones
stateful decoders
Tracing
traitor tracing
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Summary:With the advent of Cloud-storages, secure sharing of encrypted data with fine-grained access control has become an important challenge. To enforce fine-grained access rights on encrypted data to different users, Attribute-Base Encryption (ABE) is a promising cryptographic tool. But in many situations, some pirate users sell their access privileges for monetary gain. Hence, an efficient Black-Box Traitor Tracing (BB-TT) system is vital to address the corresponding Pirate Decoders (PDs). But, in the existing BB-TTs, the tracing complexity is directly related to the maximum number of users in the system. This article proposes an ABE-based access control system that provides a new Relaxed BB-TT. Our Relaxed BB-TT addresses the complexity problem by exploring the pirate user with an optimal number of decryption queries on the PD. The optimal number of queries leads to the exciting capability of traceability of stateful decoders (i.e., the decoder that can save the states among the Tracer 's queries). Finally, our system provides White-Box traceability and reduces the amount of trust in the authorities. We give formal security proofs and extensive experimental results on different classes of mobile devices, including a laptop and a smartphone.
ISSN:2168-7161
2372-0018
DOI:10.1109/TCC.2022.3210137