Janus: Fast Privacy-Preserving Data Provenance For TLS 1.3

Jan Lauinger; Jens Ernstberger; Andreas Finkenzeller; Sebastian Steinhorst

Paper 2023/1377

Janus: Fast Privacy-Preserving Data Provenance For TLS 1.3

Jan Lauinger

, Technical University of Munich

Jens Ernstberger

, Technical University of Munich

Andreas Finkenzeller

, Technical University of Munich

Sebastian Steinhorst

, Technical University of Munich

Abstract

Web users can gather data from secure endpoints and demonstrate the provenance of the data to any third party by using TLS oracles. Beyond that, TLS oracles can confirm the provenance and policy compliance of private online data by using zero-knowledge-proof systems. In practice, privacy-preserving TLS oracles can efficiently verify private data up to 1 kB in size selectively, preventing the verification of sensitive documents larger than 1 kB. In this work, we introduce a new oracle protocol for TLS 1.3, which reaches new scales in selectively verifying the provenance of confidential data. We tailor the deployment of secure computation techniques to the conditions found in TLS 1.3 and verify private TLS data in a dedicated proof system that leverages the asymmetric privacy setting between the client parties of TLS oracles. Our results show that 8 kB of sensitive data can be verified in 6.7 seconds, outperforming related approaches by 8x. With that, we enable new boundaries to verify the web provenance of confidential documents.

Metadata

Available format(s): PDF
Category: Cryptographic protocols
Publication info: Preprint.
Keywords: TLS Oracles Data Provenance Zero-knowledge Proofs Secure Two-party Computation TLS 1.3
Contact author(s): jan lauinger @ tum de
jens ernstberger @ tum de
andreas finkenzeller @ tum de
sebastian steinhorst @ tum de
History: 2023-11-08: last of 3 revisions; 2023-09-14: received; See all versions
Short URL: https://ia.cr/2023/1377
License: CC BY-NC-ND

BibTeX

@misc{cryptoeprint:2023/1377,
      author = {Jan Lauinger and Jens Ernstberger and Andreas Finkenzeller and Sebastian Steinhorst},
      title = {Janus: Fast Privacy-Preserving Data Provenance For TLS 1.3},
      howpublished = {Cryptology ePrint Archive, Paper 2023/1377},
      year = {2023},
      note = {\url{https://eprint.iacr.org/2023/1377}},
      url = {https://eprint.iacr.org/2023/1377}
}