信任与大数据:研究路线图

Johannes Sänger, Christian Richthammer, Sabri Hassan, G. Pernul
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引用次数: 30

摘要

我们正生活在大数据时代,随之而来的挑战是把握眼前的黄金机遇。这种好坏参半的情况也主导着大数据与信任之间的关系。一方面,可以利用大量与信任相关的数据,建立基于声誉的信任管理的创新数据驱动方法。另一方面,这与我们对底层数据的来源和质量的信任有着内在的联系。在本文中,我们通过构建问题域并展示当前的研究方向和相互依赖关系来解决信任和大数据的两个方面。在此基础上,我们确定了重点问题,作为未来的研究方向,以实现我们在FORSEC项目中对下一代在线信任的愿景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust and Big Data: A Roadmap for Research
We are currently living in the age of Big Data coming along with the challenge to grasp the golden opportunities at hand. This mixed blessing also dominates the relation between Big Data and trust. On the one side, large amounts of trust-related data can be utilized to establish innovative data-driven approaches for reputation-based trust management. On the other side, this is intrinsically tied to the trust we can put in the origins and quality of the underlying data. In this paper, we address both sides of trust and Big Data by structuring the problem domain and presenting current research directions and inter-dependencies. Based on this, we define focal issues which serve as future research directions for the track to our vision of Next Generation Online Trust within the FORSEC project.
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