{"title":"Demo: secure computation in JavaScript","authors":"Axel Schroepfer, F. Kerschbaum","doi":"10.1145/2046707.2093509","DOIUrl":null,"url":null,"abstract":"Secure computation, e.g. using Yao's garbled circuit protocol, allows two parties to compute arbitrary functions without disclosing their inputs. A profitable application of secure computation is business optimization. It is characterized by a monetary benefit for all participants and a high confidentiality of their respective input data. In most instances the consequences of input disclosure, e.g. loss of bargaining power, outweigh the benefits of collaboration. Therefore these optimizations are currently not performed in industrial practice.\n Our demo shows such an optimization as a secure computation. The joint economic lot size (JELS) is the optimal order quantity between a buyer and supplier. We implemented Yao's protocol in JavaScript, such that it can be executed using two web browsers. This has the additional benefit that the software can be offered as a service (SaaS) and can be easily integrated with other SaaS offerings, e.g. using mash-up technology.","PeriodicalId":72687,"journal":{"name":"Conference on Computer and Communications Security : proceedings of the ... conference on computer and communications security. ACM Conference on Computer and Communications Security","volume":"19 1","pages":"849-852"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Computer and Communications Security : proceedings of the ... conference on computer and communications security. ACM Conference on Computer and Communications Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2046707.2093509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

Secure computation, e.g. using Yao's garbled circuit protocol, allows two parties to compute arbitrary functions without disclosing their inputs. A profitable application of secure computation is business optimization. It is characterized by a monetary benefit for all participants and a high confidentiality of their respective input data. In most instances the consequences of input disclosure, e.g. loss of bargaining power, outweigh the benefits of collaboration. Therefore these optimizations are currently not performed in industrial practice. Our demo shows such an optimization as a secure computation. The joint economic lot size (JELS) is the optimal order quantity between a buyer and supplier. We implemented Yao's protocol in JavaScript, such that it can be executed using two web browsers. This has the additional benefit that the software can be offered as a service (SaaS) and can be easily integrated with other SaaS offerings, e.g. using mash-up technology.
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演示:JavaScript中的安全计算
安全计算,例如使用Yao的乱码电路协议,允许双方计算任意函数而不泄露其输入。安全计算的一个有益应用是业务优化。它的特点是对所有参与者都有金钱上的好处,并且对他们各自的输入数据有很高的保密性。在大多数情况下,投入披露的后果,例如丧失议价能力,超过了合作的好处。因此,这些优化目前没有在工业实践中执行。我们的演示将这种优化作为安全计算来展示。联合经济批量(JELS)是买方和供应商之间的最优订货数量。我们用JavaScript实现了Yao的协议,这样它就可以在两个web浏览器上执行。这还有一个额外的好处,即软件可以作为服务(SaaS)提供,并且可以轻松地与其他SaaS产品集成,例如使用混搭技术。
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