RandPiper - Reconfiguration-Friendly Random Beacons with Quadratic Communication
Adithya Bhat, Nibesh Shrestha, Zhongtang Luo, Aniket Kate, Kartik Nayak
摘要
A random beacon provides a continuous public source of randomness and its applications range from public lotteries to zero-knowledge proofs. Existing random beacon protocols sacrifice either the fault tolerance or the communication complexity for security, or ease of reconfigurability. This work overcomes the challenges with the existing works through a novel communication efficient combination of state machine replication and (Publicly) Verifiable Secret Sharing (PVSS/VSS). For a system with n nodes in the synchronous communication model and a security parameter κ, we first design an optimally resilient Byzantine fault-tolerant state machine replication protocol with O(κ n2) bits communication per consensus decision without using threshold signatures. Next, we design GRandPiper (Good Pipelined Random beacon), a random beacon protocol with bias-resistance and unpredictability, that uses PVSS and has a communication complexity of O(K n2) always, for a static adversary. However, GRandPiper allows an adaptive adversary to predict beacon values up to t+1 epochs into the future. Therefore, we design BRandPiper (Better RandPiper), that uses VSS and has a communication complexity of O(κ fn2), where f is the actual number of faults, while offering a strong unpredictability with an advantage of only a single round even for an adaptive adversary. We also provide reconfiguration mechanisms to restore the resilience of the beacon protocols while still maintaining quadratic communication complexity per epoch. We implement BRandPiper and compare it against the state-of-the-art practically deployed beacon protocol, Drand, and show that we are always better than or equal to it in performance.
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引用它的顶会 Paper15
- Spurt: Scalable Distributed Randomness Beacon with Transparent SetupSourav Das, Vinith Krishnan, Irene Miriam Isaac, Ling RenS&P 2022 · 被引用 80 次
- Foundations of Transaction Fee Mechanism DesignHao Chung, Elaine ShiSODA 2023 · 被引用 53 次
- Random Beacons in Monte Carlo: Efficient Asynchronous Random Beacon without Threshold CryptographyAkhil Bandarupalli, Adithya Bhat, Saurabh Bagchi, Aniket Kate 等CCS 2024 · 被引用 6 次
- Attacking and Improving the Tor Directory ProtocolZhongtang Luo, Adithya Bhat, Kartik Nayak, Aniket KateS&P 2024 · 被引用 5 次
- Asynchronous Data Dissemination and its ApplicationsSourav Das, Zhuolun Xiang, Ling RenCCS 2021 · 被引用 3 次
它引用的顶会 Paper6
- Sonic: Zero-Knowledge SNARKs from Linear-Size Universal and Updatable Structured Reference StringsMary Maller, Sean Bowe, Markulf Kohlweiss, Sarah MeiklejohnCCS 2019 · 被引用 412 次
- Scalable Bias-Resistant Distributed RandomnessEwa Syta, Philipp Jovanovic, Eleftherios Kokoris-Kogias, Nicolas Gailly 等S&P 2017 · 被引用 327 次
- Sync HotStuff: Simple and Practical Synchronous State Machine ReplicationIttai Abraham, Dahlia Malkhi, Kartik Nayak, Ling Ren 等S&P 2020 · 被引用 240 次
- HydRand: Efficient Continuous Distributed RandomnessPhilipp Schindler, Aljosha Judmayer, Nicholas Stifter, Edgar R. WeipplS&P 2020 · 被引用 78 次
- On the Optimality of Optimistic ResponsivenessNibesh Shrestha, Ittai Abraham, Ling Ren, Kartik NayakCCS 2020 · 被引用 47 次
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