Model driven security

Author:

Basin David1,Doser Jürgen1,Lodderstedt Torsten2

Affiliation:

1. ETH Zurich, Zurich, Switzerland

2. Interactive Objects Software GmbH, Freiburg, Germany

Abstract

We present a new approach to building secure systems. In our approach, which we call Model Driven Security, designers specify system models along with their security requirements and use tools to automatically generate system architectures from the models, including complete, configured access control infrastructures. Rather than fixing one particular modeling language for this process, we propose a general schema for constructing such languages that combines languages for modeling systems with languages for modeling security. We present several instances of this schema that combine (both syntactically and semantically) different UML modeling languages with a security modeling language for formalizing access control requirements. From models in the combined languages, we automatically generate access control infrastructures for server-based applications, built from declarative and programmatic access control mechanisms. The modeling languages and generation process are semantically well-founded and are based on an extension of Role-Based Access Control. We have implemented this approach in a UML-based CASE-tool and report on experiments.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Cited by 280 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modeling and enforcing access control policies in conversational user interfaces;Software and Systems Modeling;2023-11-22

2. Is Modeling Access Control Worth It?;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15

3. Analysing potential data security losses in organisations based on subsequent users logins;PLOS ONE;2023-08-24

4. Yet another cybersecurity risk assessment framework;International Journal of Information Security;2023-07-14

5. The meta attack language - a formal description;Computers & Security;2023-07

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