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https://doi.org/10.1109/models...
Article . 2015 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2023
Data sources: DBLP
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SoSPa: A system of Security design Patterns for systematically engineering secure systems

Authors: Phu Hong Nguyen; Koen Yskout; Thomas Heyman; Jacques Klein; Riccardo Scandariato; Yves Le Traon;

SoSPa: A system of Security design Patterns for systematically engineering secure systems

Abstract

Model-Driven Security (MDS) for secure systems development still has limitations to be more applicable in practice. A recent systematic review of MDS shows that current MDS approaches have not dealt with multiple security concerns systematically. Besides, catalogs of security patterns which can address multiple security concerns have not been applied efficiently. This paper presents an MDS approach based on a unified System of Security design Patterns (SoSPa). In SoSPa, security design patterns are collected, specified as reusable aspect models to form a coherent system of them that guides developers in systematically addressing multiple security concerns. SoSPa consists of not only interrelated security design patterns but also a refinement process towards their application. We applied SoSPa to design the security of crisis management systems. The result shows that multiple security concerns in the case study have been addressed by systematically integrating different security solutions.

Countries
Germany, Luxembourg, Belgium
Keywords

: Computer science [C05] [Engineering, computing & technology], Technology, Authentication, Science & Technology, security design, Crisis management, Engineering, Electrical & Electronic, Permission, Random access memory, : Sciences informatiques [C05] [Ingénierie, informatique & technologie], Computer Science, Software Engineering, model-driven security, Engineering, System analysis and design, Computer Science, Authorization, security patterns

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
Green