DECO: Liberating Web Data Using Decentralized Oracles for TLS
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Abstract (arXiv)
Thanks to the widespread deployment of TLS, users can access private data over channels with end-to-end confidentiality and integrity. What they cannot do, however, is prove to third parties the em provenance of such data, i.e., that it genuinely came from a particular website. Existing approaches either introduce undesirable trust assumptions or require server-side modifications. As a result, the value of users' private data is locked up in its point of origin. Users cannot export their data with preserved integrity to other applications without help and permission from the current data holder. We propose DECO (short for underlinedecentralized underlineoracle) to address the above problems. DECO allows users to prove that a piece of data accessed via TLS came from a particular website and optionally prove statements about such data in zero-knowledge, keeping the data itself secret. DECO is the first such system that works without trusted hardware or server-side modifications. DECO can liberate data from centralized web-service silos, making it accessible to a rich spectrum of applications. To demonstrate the power of DECO, we implement three applications that are hard to achieve without it: a private financial instrument using smart contracts, converting legacy credentials to anonymous credentials, and verifiable claims against price discrimination.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Sep 2019.
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Citing papers per year: 2024: 3; 2025: 2; 2026: 2.
7 papers.
- 2025BlockA2A: Towards Secure and Verifiable Agent-to-Agent Interoperabilitycited by 14
- 2024Decentralized Intelligence in GameFi: Embodied AI Agents and the Convergence of DeFi and Virtual Ecosystemscited by 2
- 2024Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligencecited by 1
- 2025Personhood Credentials: Human-Centered Design Recommendation Balancing Security, Usability, and Trustcited by 1
- 2026TrustedARI: Towards Trust-Native Agentic Routing Infrastructure for Agentic AIcited by 1
- 2024Props for Machine-Learning Securitycited by 0
- 2026Reconstructive Authority Model: Runtime Execution Validity Under Partial Observabilitycited by 0
- 2026TrustedARI: Towards Trust-Native Agentic Routing Infrastructure for Agentic AI14 Jun 2026
- 2026Reconstructive Authority Model: Runtime Execution Validity Under Partial Observability24 Apr 2026
- 2025BlockA2A: Towards Secure and Verifiable Agent-to-Agent Interoperability2 Aug 2025
- 2025Personhood Credentials: Human-Centered Design Recommendation Balancing Security, Usability, and Trust22 Feb 2025
- 2024Decentralized Intelligence in GameFi: Embodied AI Agents and the Convergence of DeFi and Virtual Ecosystems24 Dec 2024
- 2024Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence3 Dec 2024
- 2024Props for Machine-Learning Security27 Oct 2024