USENIX Security2022Top-tier venue
Zero-Knowledge Middleboxes
Paul Grubbs, Arasu Arun, Ye Zhang, Joseph Bonneau, Michael Walfish
Abstract
This paper initiates research on zero-knowledge middleboxes (ZKMBs). A ZKMB is a network middlebox that enforces network usage policies on encrypted traffic. Clients send the middlebox zero-knowledge proofs that their traffic is policy-compliant; these proofs reveal nothing about the client's communication except that it complies with the policy. We show how to make ZKMBs work with unmodified encrypted-communication protocols (specifically TLS 1.3), making ZKMBs invisible to servers. As a contribution of independent interest, we design optimized zero-knowledge proofs for TLS 1.3 session keys. We apply the ZKMB paradigm to several case studies. Experimental results suggest that in certain settings, performance is in striking distance of practicality; an example is a middlebox that filters domain queries (each query requiring a separate proof) when the client has a long-lived TLS connection with a DNS resolver. In such configurations, the middlebox's overhead is 2-5 ms of running time per proof, and client latency to create a proof is several seconds. On the other hand, clients may have to store hundreds of MBs depending on the underlying zero-knowledge proof machinery, and for some applications, latency is tens of seconds.
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Install the CLIlune papers fulltext f66cdeae-0e1a-4464-a7e7-f0ce67775f4cCited by top-tier papers19
- Orion: Zero Knowledge Proof with Linear Prover TimeTiancheng Xie, Yupeng Zhang, Dawn SongCRYPTO 2022 · 83 citations
- Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge ProofsTianyi Liu, Tiancheng Xie, Jiaheng Zhang, Dawn Song et al.S&P 2024 · 52 citations
- Zombie: Middleboxes that Don't SnoopCollin Zhang, Zachary DeStefano, Arasu Arun, Joseph Bonneau et al.NSDI 2024 · 26 citations
- End-to-End Secure Messaging with Traceability Only for Illegal ContentJames Bartusek, Sanjam Garg, Abhishek Jain, Guru-Vamsi PolicharlaEUROCRYPT 2023 · 20 citations
- Two Shuffles Make a RAM: Improved Constant Overhead Zero Knowledge RAMYibin Yang, David HeathUSENIX Security 2024 · 14 citations
Builds on20
- Sonic: Zero-Knowledge SNARKs from Linear-Size Universal and Updatable Structured Reference StringsMary Maller, Sean Bowe, Markulf Kohlweiss, Sarah MeiklejohnCCS 2019 · 412 citations
- Poseidon: A New Hash Function for Zero-Knowledge Proof SystemsLorenzo Grassi, Dmitry Khovratovich, Christian Rechberger, Arnab Roy et al.USENIX Security 2021 · 410 citations
- Doubly-Efficient zkSNARKs Without Trusted SetupRiad S. Wahby, Ioanna Tzialla, Abhi Shelat, Justin Thaler et al.S&P 2018 · 356 citations
- Marlin: Preprocessing zkSNARKs with Universal and Updatable SRSAlessandro Chiesa, Yuncong Hu, Mary Maller, Pratyush Mishra et al.EUROCRYPT 2020 · 356 citations
- Spartan: Efficient and General-Purpose zkSNARKs Without Trusted SetupSrinath T. V. SettyCRYPTO 2020 · 262 citations
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