迈向可扩展阈值密码系统

Alin Tomescu, Robert Chen, Yiming Zheng, Ittai Abraham, Benny Pinkas, Guy Golan-Gueta, S. Devadas
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引用次数: 51

摘要

对拜占庭式容错系统重新燃起的兴趣将需要更多可扩展的阈值密码系统。不幸的是,当前系统的可扩展性很差,需要的时间是参与者数量的二次倍。在本文中,我们提出了有助于将阈值签名方案(TSS),可验证秘密共享(VSS)和分布式密钥生成(DKG)协议扩展到数十万参与者甚至更多的技术。首先,在聚合阈值特征时,我们使用高效的算法来评估多个点上的多项式,以加快拉格朗日系数的计算速度。因此,我们可以在6秒内(从30分钟减少到现在)汇总26万个BLS阈值签名中的13万个。其次,我们展示了如何“验证”这种多点评估可以加速证明多项式评估,这是通信高效VSS和DKG协议的关键步骤。因此,我们将VSS和DKG协议的渐近(和具体)计算复杂度从二次时间降低到拟线性时间,而通信复杂度却略有增加。例如,使用我们的DKG协议,我们可以在2.3小时内(从8天降下来)安全地为上述BLS方案生成密钥。我们的技术提高了小至255的阈值的性能,并推广到任何基于拉格朗日的阈值方案,而不仅仅是阈值签名。我们的工作有一定的局限性:我们需要一个可信的设置,我们专注于同步VSS和DKG协议,我们不解决DKG中最坏情况的投诉开销。尽管如此,我们希望它能激发人们对设计大规模分布式系统的新兴趣。
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Towards Scalable Threshold Cryptosystems
The resurging interest in Byzantine fault tolerant systems will demand more scalable threshold cryptosystems. Unfortunately, current systems scale poorly, requiring time quadratic in the number of participants. In this paper, we present techniques that help scale threshold signature schemes (TSS), verifiable secret sharing (VSS) and distributed key generation (DKG) protocols to hundreds of thousands of participants and beyond. First, we use efficient algorithms for evaluating polynomials at multiple points to speed up computing Lagrange coefficients when aggregating threshold signatures. As a result, we can aggregate a 130,000 out of 260,000 BLS threshold signature in just 6 seconds (down from 30 minutes). Second, we show how "authenticating" such multipoint evaluations can speed up proving polynomial evaluations, a key step in communication-efficient VSS and DKG protocols. As a result, we reduce the asymptotic (and concrete) computational complexity of VSS and DKG protocols from quadratic time to quasilinear time, at a small increase in communication complexity. For example, using our DKG protocol, we can securely generate a key for the BLS scheme above in 2.3 hours (down from 8 days). Our techniques improve performance for thresholds as small as 255 and generalize to any Lagrange-based threshold scheme, not just threshold signatures. Our work has certain limitations: we require a trusted setup, we focus on synchronous VSS and DKG protocols and we do not address the worst-case complaint overhead in DKGs. Nonetheless, we hope it will spark new interest in designing large-scale distributed systems.
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