USENIX Security2023Top-tier venue
Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion
Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala
Abstract
Safety, liveness, and privacy are three critical properties for any private proof-of-stake (PoS) blockchain. However, prior work (SP'21) has shown that to obtain safety and liveness, a PoS blockchain must in theory forgo privacy. Specifically, to ensure safety and liveness, PoS blockchains elect parties based on stake proportion, potentially exposing a party's stake even with private transaction processing. In this work, we make two key contributions. First, we present the first stake inference attack applicable to both deterministic and randomized PoS with exponentially less running time in comparison with SOTA designs. Second, we use differentially private stake distortion to achieve privacy in PoS blockchains, and design two stake distortion mechanisms that any PoS protocol can use. We further evaluate our proposed methods using Ethereum 2.0, a widely-recognized PoS blockchain in operation. Results demonstrate effective stake inference risk mitigation, reasonable privacy, and preservation of essential safety and liveness properties. Contributions C-1. Stake inference attacks (SIA) for PoS protocols. • A general stake inference paradigm. We propose a general stake inference paradigm that provides a template
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- Ouroboros Genesis: Composable Proof-of-Stake Blockchains with Dynamic AvailabilityChristian Badertscher, Peter Gazi, Aggelos Kiayias, Alexander Russell et al.CCS 2018 · 306 citations
- Proof-of-Stake SidechainsPeter Gazi, Aggelos Kiayias, Dionysis ZindrosS&P 2019 · 222 citations
- Ouroboros Crypsinous: Privacy-Preserving Proof-of-StakeThomas Kerber, Aggelos Kiayias, Markulf Kohlweiss, Vassilis ZikasS&P 2019 · 82 citations
- On the Anonymity Guarantees of Anonymous Proof-of-Stake ProtocolsMarkulf Kohlweiss, Varun Madathil, Kartik Nayak, Alessandra ScafuroS&P 2021 · 13 citations
- DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential PrivacyChenghong Wang, Johes Bater, Kartik Nayak, Ashwin MachanavajjhalaSIGMOD 2021 · 8 citations
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