STRAPP: Trusted Digital Spaces through Timely Reliable and Personalised Provenance

STRPP是一个合作项目，旨在解决使用共享数字系统时的信任问题，方法是开发来源信息的创新用途，以加强决策过程。现代企业在很大程度上依赖于由计算机系统存储和处理的信息来做出关键的、高价值的业务决策，这些决策通常基于由许多分布式来源和服务收集和处理的数据。对这些信息的信任在很大程度上依赖于它的出处(它来自哪里，如何产生等)，这通常是未知的。STRPP将为可信的数字空间开发一种新的来源框架，该框架是安全、可靠、个性化的，提供背景感知的及时信息，并向用户建议与信息相关的风险水平。

STRAPP is a collaborative project to address the issue of trust in the use of shared digital systems, by developing innovative uses of provenance information to enhance the decision making process. Modern businesses rely heavily on information stored and processed by computer systems to make crucial, high value business decisions, frequently based upon data collected and manipulated by many distributed sources and services. Trust in this information relies critically on its provenance (where it comes from, how generated etc.), which is normally unknown. STRAPP will develop a novel provenance framework for trusted digital spaces that is secure, dependable, personalised, provides context-aware, timely information and advises the user of the level of risk associated with the information.