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A systematic methodology for privacy impact assessments: a design science approach

机译:隐私影响评估的系统方法:一种设计科学方法

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摘要

For companies that develop and operate IT applications that process the personal data of customers and employees, a major problem is protecting these data and preventing privacy breaches. Failure to adequately address this problem can result in considerable damage to the company's reputation and finances, as well as negative effects for customers or employees (data subjects). To address this problem, we propose a methodology that systematically considers privacy issues by using a step-by-step privacy impact assessment (PIA). Existing PIA approaches cannot be applied easily because they are improperly structured or imprecise and lengthy. We argue that companies that employ our PIA can achieve 'privacy-by-design', which is widely heralded by data protection authorities. In fact, the German Federal Office for Information Security (BSI) ratified the approach we present in this article for the technical field of RFID and published it as a guideline in November 2011. The contribution of the artefacts we created is twofold: First, we provide a formal problem representation structure for the analysis of privacy requirements. Second, we reduce the complexity of the privacy regulation landscape for practitioners who need to make privacy management decisions for their IT applications.
机译:对于开发和运行处理客户和员工个人数据的IT应用程序的公司而言,主要问题是保护这些数据并防止侵犯隐私的行为。无法充分解决此问题可能会严重损害公司的声誉和财务,并给客户或员工(数据主体)带来负面影响。为了解决此问题,我们提出了一种方法,该方法通过使用逐步的隐私影响评估(PIA)系统地考虑隐私问题。现有的PIA方法结构不正确或不精确且冗长,因此无法轻松应用。我们认为,使用我们的PIA的公司可以实现“按计划设计的隐私”,这已被数据保护机构广泛宣传。实际上,德国联邦信息安全局(BSI)批准了本文中介绍的RFID技术领域中使用的方法,并于2011年11月将其发布为准则。我们创建的人工制品的贡献是双重的:首先,我们提供用于分析隐私要求的正式问题表示结构。其次,我们为需要为其IT应用制定隐私管理决策的从业人员降低了隐私法规格局的复杂性。

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