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Architecture-based attack propagation and variation analysis for identifying confidentiality issues in Industry 4.0.

, , , , , and . Autom., 71 (6): 443-452 (June 2023)

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Forming Ensembles at Runtime: A Machine Learning Approach., , , and . CoRR, (2021)Towards characterization of edge-cloud continuum., , and . CoRR, (2023)Towards fuzzification of adaptation rules in self-adaptive architectures., , , , , , , and . CoRR, (2021)Towards an Automated Requirements-driven Development of Smart Cyber-Physical Systems., and . FESCA@ETAPS, volume 205 of EPTCS, page 59-68. (2016)Dynamic Security Specification Through Autonomic Component Ensembles., , , , , and . ISoLA (3), volume 11246 of Lecture Notes in Computer Science, page 172-185. Springer, (2018)QRML: A Component Language and Toolset for Quality and Resource Management., , , , , , , , and . FDL, page 1-8. IEEE, (2020)DEECO: an ensemble-based component system., , , , , and . CBSE, page 81-90. ACM, (2013)Strengthening architectures of smart CPS by modeling them as runtime product-lines., , and . CBSE, page 91-96. ACM, (2014)Towards Characterization of Edge-Cloud Continuum., , and . ECSA (Tracks and Workshops), volume 13928 of Lecture Notes in Computer Science, page 215-230. Springer, (2022)A Virtual Playground for Testing Smart Cyber-Physical Systems., , and . ICSA Companion, page 85-88. IEEE Computer Society, (2018)