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Evidence processing and privacy issues in evidence-based reputation systems

机译:基于证据的声誉系统中的证据处理和隐私问题

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摘要

Issues related to processing of evidence in evidence-based reputation systems, with a particular concern for user privacy, are discussed in our paper. The novel idea of evidence-based reputation (or trust) systems is that such systems do not rely on an objective knowledge of user identity. One has instead to consider possible privacy infringements based on the use of data (evidence) about the previous behaviour of entities in the systems. We provide a brief introduction to evidence-based trust/reputation systems, as well as to the privacy issues, addressing the common problem of many papers that narrow the considerations of privacy to anonymity only. We elaborate on the concept of pseudonymity through aspects of evidence storing and processing. This, together with a consideration of current work on trust models, leads to our specification of requirements for the trust model for evidence-based systems supporting pseudonymity.
机译:在本文中讨论了与基于证据的信誉系统中的证据处理有关的问题,尤其是对用户隐私的关注。基于证据的信誉(或信任)系统的新颖思想是,此类系统不依赖于用户身份的客观知识。取而代之的是,必须根据有关系统中实体先前行为的数据(证据)的使用来考虑可能的隐私侵害。我们简要介绍了基于证据的信任/声誉系统以及隐私问题,解决了许多论文的共同问题,这些论文仅将隐私的考虑范围缩小到匿名。我们通过证据存储和处理的各个方面详细阐述了假名的概念。结合对信任模型当前工作的考虑,得出了我们对支持假名的基于证据的系统的信任模型的要求规范。

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