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Can a Public Blockchain Keep a Secret?

块链 计算机科学 可扩展性 计算机安全 对手 秘密分享 混淆 数字加密货币 安全多方计算 服务(商务) 密码学 数据库 经济 经济
作者
Fabrice Benhamouda,Craig Gentry,S. Gorbunov,Shai Halevi,Hugo Krawczyk,Chenglong Fu,Tal Rabin,Leonid Reyzin
出处
期刊:Lecture Notes in Computer Science [Springer Science+Business Media]
卷期号:: 260-290 被引量:39
标识
DOI:10.1007/978-3-030-64375-1_10
摘要

Blockchains are gaining traction and acceptance, not just for cryptocurrencies, but increasingly as an architecture for distributed computing. In this work we seek solutions that allow a public blockchain to act as a trusted long-term repository of secret information: Our goal is to deposit a secret with the blockchain, specify how it is to be used (e.g., the conditions under which it is released), and have the blockchain keep the secret and use it only in the specified manner (e.g., release only it once the conditions are met). This simple functionality enables many powerful applications, including signing statements on behalf of the blockchain, using it as the control plane for a storage system, performing decentralized program-obfuscation-as-a-service, and many more. Using proactive secret sharing techniques, we present a scalable solution for implementing this functionality on a public blockchain, in the presence of a mobile adversary controlling a small minority of the participants. The main challenge is that, on the one hand, scalability requires that we use small committees to represent the entire system, but, on the other hand, a mobile adversary may be able to corrupt the entire committee if it is small. For this reason, existing proactive secret sharing solutions are either non-scalable or insecure in our setting. We approach this challenge via “player replaceability”, which ensures the committee is anonymous until after it performs its actions. Our main technical contribution is a system that allows sharing and re-sharing of secrets among the members of small dynamic committees, without knowing who they are until after they perform their actions and erase their secrets. Our solution handles a fully mobile adversary corrupting roughly 1/4 of the participants at any time, and is scalable in terms of both the number of parties and the number of time intervals.

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