CryptoDB
Traitor Tracing without Trusted Authority from Registered Functional Encryption
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Presentation: | Slides |
Conference: | ASIACRYPT 2024 |
Abstract: | Traitor-tracing systems allow identifying the users who contributed to building a rogue decoder in a broadcast environment. In a traditional traitor-tracing system, a key authority is responsible for generating the global public parameters and issuing secret keys to users. All security is lost if the \emph{key authority itself} is corrupt. This raises the question: Can we construct a traitor-tracing scheme, without a trusted authority? In this work, we propose a new model for traitor-tracing systems where, instead of having a key authority, users could generate and register their own public keys. The public parameters are computed by aggregating all user public keys. Crucially, the aggregation process is \emph{public}, thus eliminating the need of any trusted authority. We present two new traitor-tracing systems in this model based on bilinear pairings. Our first scheme is proven adaptively secure in the generic group model. This scheme features a {\it transparent} setup, ciphertexts consisting of $6\sqrt{L}+4$ group elements, and a public tracing algorithm. Our second scheme supports a bounded collusion of traitors and is proven selectively secure in the standard model. Our main technical ingredients are new registered functional encryption (RFE) schemes for quadratic and linear functions which, prior to this work, were known only from indistinguishability obfuscation. To substantiate the practicality of our approach, we evaluate the performance a proof of concept implementation. For a group of $L = 1024$ users, encryption and decryption take roughly 50ms and 4ms, respectively, whereas a ciphertext is of size 6.7KB. |
BibTeX
@inproceedings{asiacrypt-2024-34659, title={Traitor Tracing without Trusted Authority from Registered Functional Encryption}, publisher={Springer-Verlag}, author={Pedro Branco and Russell W. F. Lai and Monosij Maitra and Giulio Malavolta and Ahmadreza Rahimi and Ivy K. Y. Woo}, year=2024 }