{"title":"A domain-specific programming language for secure multiparty computation","authors":"Janus Dam Nielsen, M. I. Schwartzbach","doi":"10.1145/1255329.1255333","DOIUrl":null,"url":null,"abstract":"We present a domain-specific programming language for Secure Multiparty Computation (SMC).\n 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\n 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.","PeriodicalId":119000,"journal":{"name":"ACM Workshop on Programming Languages and Analysis for Security","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Workshop on Programming Languages and Analysis for Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1255329.1255333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.