A domain-specific programming language for secure multiparty computation

Janus Dam Nielsen, M. I. Schwartzbach
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引用次数: 61

Abstract

We present a domain-specific programming language for Secure Multiparty Computation (SMC). Information is a resource of vital importance and considerable economic value to individuals, public administration, and private companies. This means that the confidentiality of information is crucial, but at the same time significant value can often be obtained by combining confidential information from various sources. This fundamental conflict between the benefits of confidentiality and the benefits of information sharing may be overcome using the cryptographic method of SMC where computations are performed on secret values and results are only revealed according to specific protocols We identify the key linguistic concepts of SMC and bridge the gap between high-level security requirements and low-level cryptographic operations constituting an SMC platform, thus improving the efficiency and security of SMC application development. The language is implemented in a prototype compiler that generates Java code exploiting a distributed cryptographic runtime.
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用于安全多方计算的特定于领域的编程语言
我们提出了一种领域特定的安全多方计算(SMC)编程语言。信息是一种至关重要的资源,对个人、公共管理部门和私营公司都具有相当大的经济价值。这意味着信息的保密性是至关重要的,但与此同时,将各种来源的机密信息组合起来往往可以获得显著的价值。使用SMC的加密方法可以克服机密性和信息共享之间的基本冲突,其中对秘密值进行计算,结果仅根据特定协议显示。我们确定了SMC的关键语言概念,并弥合了构成SMC平台的高级安全要求和低级加密操作之间的差距。从而提高了SMC应用开发的效率和安全性。该语言在原型编译器中实现,该编译器生成利用分布式加密运行时的Java代码。
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