Reference : A Systematic Review of Model-Driven Security
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/10115
A Systematic Review of Model-Driven Security
English
Nguyen, Phu Hong mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Klein, Jacques mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Kramer, Max mailto [Karlsruhe Institute of Technology > Software Design and Quality Group]
Le Traon, Yves mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Dec-2013
The 20th Asia-Pacific Software Engineering Conference Proceedings
Yes
International
The 20th Asia-Pacific Software Engineering Conference (APSEC 2013)
2-5 December 2013
APSEC
Bangkok
Thailand
[en] systematic review ; model-driven security ; model ; survey ; security
[en] To face continuously growing security threats and requirements, sound methodologies for constructing secure systems are required. In this context, Model-Driven Security (MDS) has emerged since more than a decade ago as a specialized Model-Driven Engineering approach for supporting the development of secure systems. MDS aims at improving the productivity of the development process and quality of the resulting secure systems, with models as the main artifact.
This paper presents how we systematically examined existing published work in MDS and its results. The systematic review process, which is based on a formally designed review protocol,
allowed us to identify, classify, and evaluate different MDS approaches. To be more specific, from thousands of relevant papers found, a final set of the most relevant MDS publications has been identified, strictly selected, and reviewed. We present a taxonomy for MDS, which is used to synthesize data in order to
classify and evaluate the selected MDS approaches. The results draw a wide picture of existing MDS research showing the current status of the key aspects in MDS as well as the identified
most relevant MDS approaches.We discuss the main limitations of the existing MDS approaches and suggest some potential research directions based on these insights.
Interdisciplinary Centre for Security, Reliability and Trust (SnT)
the Fonds National de la Recherche (FNR), Luxembourg
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/10115

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