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CARMEN: A framework for the verification and diagnosis of the specification of security requirements in cyber-physical systems

Ángel Jesús Varela‐Vaca, David G. Rosado, Luis Sánchez, María Teresa Gómez-López, Rafael M. Gasca, Eduardo Fernández‐Medina

2021Computers in Industry18 citationsDOIOpen Access PDF

Abstract

In the last years, cyber-physical systems (CPS) are receiving substantial mainstream attention especially in industrial environments, but this popularity has been accompanied by serious security challenges. A CPS is a complex system that includes hardware and software components, with different suppliers and connection protocols, forcing complex data management and storage. For this reason, the construction, verification and diagnosis of security CPS become a major challenge, which involves a correct specification of security requirements, the verification of the correct system configurations, and if necessary, the diagnosis to detect the features to be modified to obtain a security configuration. In this paper, we propose a framework for the verification and diagnosis of security requirements, according to the possible correct configurations of the CPS. The framework is based on the specification of the security requirements and their analysis supported by Model-Driven Engineering and Software Product Line Engineering (SPLE) approaches. To illustrate the usefulness, the proposal has been applied to the security requirements in an Agriculture 4.0 scenario based on automated hydroponic cultivation.

Topics & Concepts

Security testingComputer scienceCyber-physical systemComputer security modelSecurity engineeringSystem requirements specificationSoftware security assuranceSoftware engineeringSecurity information and event managementSecurity serviceComputer securitySystems engineeringCloud computing securityEngineeringInformation securityOperating systemCloud computingAdvanced Software Engineering MethodologiesService-Oriented Architecture and Web ServicesFlexible and Reconfigurable Manufacturing Systems
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