Library Application for a Fair, Traceable, Auditable and Participatory Drawing Tool for Legal Systems

M. V. M. Silva, Marcos A. Simplício Jr.
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Abstract

Several applications require random sampling to be protected against a biased behavior. When conflicting parties have different interests in its result, the system must guarantee that collusion among any number of entities cannot influence the resulting computation. Such is the case of legal systems, in which jurors and judges must be randomly picked to ensure impartiality in judicial cases. However, when informational systems are used to generate randomness, it should also provide auditability of its mechanisms to promote confidence in its fairness. This article presents a tool of one such mechanism that combines the randomness provided by hash functions with active social engagement. Each stakeholder in a legal proceeding contribute with his/her own share to the drawing, so that fairness is achieved if at least one entity is honest. Any interested party can audit a drawing using only public information, and misconduct of any party can be traced back to the culprit as soon as the result is computed. Our open-source implementation provides security by design, not depending on the secrecy of its component to attain all the required security properties.
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图书馆申请一个公平、可追溯、可审计和参与性的法律系统绘图工具
一些应用程序需要随机抽样来防止有偏差的行为。当冲突各方对其结果有不同的利益时,系统必须保证任何数量的实体之间的勾结都不会影响结果的计算。法律制度就是这样,陪审员和法官必须随机挑选,以确保司法案件的公正性。然而,当信息系统被用来产生随机性时,它还应该提供其机制的可审计性,以促进对其公平性的信心。本文提供了这样一种机制的工具,它将哈希函数提供的随机性与积极的社会参与结合起来。法律程序中的每个利益相关者都贡献了自己的份额,因此,如果至少有一个实体是诚实的,那么公平就实现了。任何利益相关方都可以只使用公开信息对图纸进行审计,一旦计算出结果,任何一方的不当行为都可以追溯到罪魁祸首。我们的开源实现通过设计提供安全性,而不依赖于其组件的保密性来获得所有所需的安全属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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