QADR: A Scalable, Quantum-Resistant Protocol for Anonymous Data Reporting

Quantum Physics arXiv:2511.15272 (quant-ph) [Submitted on 19 Nov 2025] Title:QADR: A Scalable, Quantum-Resistant Protocol for Anonymous Data Reporting Authors:Nilesh Vyas, Konstantin Baier View a PDF of the paper titled QADR: A Scalable, Quantum-Resistant Protocol for Anonymous Data Reporting, by Nilesh Vyas and Konstantin Baier View PDF HTML (experimental) Abstract:The security of future large-scale IoT networks is critically threatened by the ``Harvest Now, Decrypt Later'' (HNDL) attack paradigm. Securing the massive, long-lived data streams from these systems requires protocols that are both quantum-resistant and highly scalable. Existing solutions are insufficient: post-quantum classical protocols rely on computational assumptions that may not hold for decades, while purely quantum protocols are too resource-intensive for the sheer scale of IoT. This paper introduces the Quantum Anonymous Data Reporting (QADR) protocol, a hybrid framework that provides a theoretical benchmark and high-performance architecture for this challenge, designed for future fully-connected quantum networks. The protocol achieves scalable, quantum-resistant anonymity through a hybrid security model; it leverages information-theoretically secure keys from Quantum Key Distribution (QKD) to seed a quantum-secure pseudorandom function (QS-PRF), grounding its long-term data protection in well-established computational hardness assumptions. We also propose and analyze an automated slot reservation mechanism by making a deliberate trade-off: achieving high performance by accepting a quantifiable information leak during the anonymous slot reservation phase while maintaining strong unlinkability for the final data submission. Our security analysis formally quantifies the anonymity reduction caused by the leak and discusses pathways to fully mitigate it at a significant performance cost. We prove the protocol's critical advantage as a performance benchmark: its primary communication cost scales as $O(n^2)$, a dramatic improvement over quantum-native alternatives ($O(n^4)$), establishing a high-performance goal for future quantum-secured anonymity systems. Subjects: Quantum Physics (quant-ph); Cryptography and Security (cs.CR); Networking and Internet Architecture (cs.NI) Cite as: arXiv:2511.15272 [quant-ph] (or arXiv:2511.15272v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2511.15272 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Nilesh Vyas [view email] [v1] Wed, 19 Nov 2025 09:37:19 UTC (282 KB) Full-text links: Access Paper: View a PDF of the paper titled QADR: A Scalable, Quantum-Resistant Protocol for Anonymous Data Reporting, by Nilesh Vyas and Konstantin BaierView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-11 Change to browse by: cs cs.CR cs.NI References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)