Big data applications offer smart solutions to many urgent societal challenges, such as health care, traffic coordination, energy management, etc. The basic premise for these applications is "the more data the better". The focus often lies on sensing infrastructures in the public realm that produce an ever-increasing amount of data. Yet, any smartphone and smartwatch owner could be a continuous source of valuable data and contribute to many useful big data applications. However, such data can reveal a lot of sensitive information, like the current location or the heart rate of the owner of such devices. Protection of personal data is important in our society and for example manifested in the EU General Data Protection Regulation (GDPR). However, privacy protection and useful big data applications are hard to bring together, particularly in the human-centered IoT. Implementing proper privacy protection requires skills that are typically not in the focus of data analysts and big data developers. Thus, many individuals tend to share none of their data if in doubt whether it will be properly protected. There exist excellent privacy solutions between the "all or nothing" approach. For example, instead of continuously publishing the current location of individuals one might aggregate this data and only publish information of how many individuals are in a certain area of the city. Thus, personal data is not revealed, while useful information for certain applications like traffic coordination is retained. The goal of the Parrot project is to provide tools for real-time data analysis applications that leverage this "middle ground". Data analysts should only be required to specify their data needs, and end-users can select the privacy requirements for their data as well as the applications and end-users they want to share their data with.
翻译:大型数据应用为许多紧迫的社会挑战提供了智能解决方案,如医疗保健、交通协调、能源管理等。这些应用的基本前提是“数据越多越好 ” 。这些应用的基本前提是“越多数据越好 ” 。 重点往往在于对公共领域的基础设施进行感测,从而产生越来越多的数据。然而,任何智能手机和智能观察拥有者都可以成为宝贵的数据的持续来源,有助于许多有用的大数据应用。然而,这些数据可以揭示许多敏感信息,如目前的位置或这类设备拥有者的心率等。保护个人数据在我们社会非常重要,例如欧盟数据保护总条例(GDPR)中也体现了这一点。然而,隐私保护和有用的大数据应用往往很难将公共领域的基础设施集中起来,特别是以人为中心的信息传输。 实施适当的隐私保护需要的技能通常不是数据分析员和大数据开发商的焦点。 因此,许多人往往不分享他们的隐私信息,如果怀疑这些数据是否能得到适当的保护,那么“所有”方法之间就有很好的隐私解决方案。 例如, 不断公布个人当前的位置,也许可以将这些数据汇总起来,而只有公布以人为中心的数据, 而个人数据在一定的用途上的数据是被保存的数据。