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Article Dans Une Revue Journal of Innovation in Digital Ecosystems Année : 2015

Security architecture metamodel for Model Driven security

Résumé

SMSA Security connector UML profile ADL OCL Vulnerability point's detection architectures A B S T R A C T A key aspect of the design of any software system is its architecture. One issue for perpetually designing good and robust architectures is the new security concepts. Many new applications are running on powerful platforms that have ample rich architecture models to support multiples security techniques and to explicit several security constraints. The design of an architecture meta-model that considers security connectors is required in order to ensure a realistic secure assembly and to address the problems of vulnerability of exchanging data flow. Our research proposes a generic meta-modelling approach called SMSA (Security Meta-model for Software Architecture) for describing a software system as a collection of components that interact through security connectors. SMSA metamodel is modeled as a UML SMSA profile. We exploit UML powerful capacities (meta-models and models) to define security concepts of SMSA (e.g. security connectors, composite and domain). A major benefit of UML profile is to the faithful representation of connectors to support the definition of security connector types explicitly and to support them with the ability to associate semantic properties. We also provide a set of model transformations to fit security requirements of a system. These transformations are detailed and validated with phosphate support system (SAGE) for the company FERPHOS: a case study described in SMSA. The model is tested and validated with the semantic constraints defined by the profile using Eclipse 3.1 plug-in in this case study.

Domaines

Autre [cs.OH]
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Dates et versions

hal-02436948 , version 1 (13-01-2020)

Identifiants

Citer

Makhlouf Q1, Adel Alti, Mohamed Gasmi, Philippe Roose. Security architecture metamodel for Model Driven security. Journal of Innovation in Digital Ecosystems, 2015, ⟨10.1016/j.jides.2015.12.001⟩. ⟨hal-02436948⟩

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