CARiSMA基于模型的隐私和安全分析

A. Ahmadian, Sven Peldszus, Qusai Ramadan, J. Jürjens
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引用次数: 23

摘要

我们提出CARiSMA,一个最初设计用于支持基于模型的IT系统安全分析的工具。在我们最近的工作中,我们为CARiSMA增加了几个新功能,以支持个人数据的隐私。此外,我们引入了一种机制,通过自动初始化有关安全和隐私需求的适当CARiSMA分析来帮助系统设计人员执行CARiSMA分析。我们工作的动机是法规(EU) 2016/679第25条,该法规要求必须实施适当的技术和组织控制,以确保在默认情况下,个人数据的处理符合个人数据处理原则。这意味着最初必须对IT系统进行分析,以验证这些原则是否得到遵守。系统模型允许系统开发人员处理系统的复杂性,并将重点放在隐私和安全性等关键方面。CARiSMA可以在http://carisma.umlsec.de上找到,我们的屏幕播放在https://youtu.be/b5zeHig3ARw上。
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Model-based privacy and security analysis with CARiSMA
We present CARiSMA, a tool that is originally designed to support model-based security analysis of IT systems. In our recent work, we added several new functionalities to CARiSMA to support the privacy of personal data. Moreover, we introduced a mechanism to assist the system designers to perform a CARiSMA analysis by automatically initializing an appropriate CARiSMA analysis concerning security and privacy requirements. The motivation for our work is Article 25 of Regulation (EU) 2016/679, which requires appropriate technical and organizational controls must be implemented for ensuring that, by default, the processing of personal data complies with the principles on processing of personal data. This implies that initially IT systems must be analyzed to verify if such principles are respected. System models allow the system developers to handle the complexity of systems and to focus on key aspects such as privacy and security. CARiSMA is available at http://carisma.umlsec.de and our screen cast at https://youtu.be/b5zeHig3ARw.
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