Titlebook: Computer Safety, Reliability, and Security; 38th International C Alexander Romanovsky,Elena Troubitsyna,Friedemann Conference proceedings

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A Pattern for Arguing the Assurance of Machine Learning in Medical Diagnosis Systemst human performance. The adoption of such systems in the medical domain should not happen, however, unless sufficient assurance can be demonstrated. In this paper we consider the implicit assurance argument for state-of-the-art systems that uses machine-learnt models for clinical diagnosis, e.g. ret

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BACRank: Ranking Building Automation and Control System Components by Business Continuity Impactons. However, BACSs are prone to disruptions caused by failures or active attacks. Given the role BACSs play in critical locations such as airports and hospitals, a comprehensive impact assessment methodology is required that estimates the effect of unavailable components in the system. In this pape

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Getting Started: Identifying Your Needson of ICS specific properties and their impact on the forensic process in order to foster forensic capabilities and forensic readiness in ICS. An existing model for Desktop-IT forensics is successfully adapted for use in ICS.

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0302-9743 d in Turku, Finland, in September 2019...The 16 full and 5 short papers included in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections named: formal verification; autonomous driving; safety and reliability modeling; security engineering and

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Conference proceedings 2019, Finland, in September 2019...The 16 full and 5 short papers included in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections named: formal verification; autonomous driving; safety and reliability modeling; security engineering and risk asses