Titlebook: Risk Assessment and Risk-Driven Testing; Third International Fredrik Seehusen,Michael Felderer,Marc-Florian Wen Conference proceedings 201

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Martin A. Schneider,Steffen Herbold,Marc-Florian Wendland,Jens Grabowski‘Organisatie van zorg in richtlijnen‘ en ‘Indicatiestelling als essentieel onderdeel van richtlijnen‘. Het boek is bestemd voor alle categorieën van zorgverleners, zoals artsen, verpleegkundige978-90-368-0266-6978-90-368-0267-3

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Risk Assessment and Security Testing of Large Scale Networked Systems with RACOMATal consequences. While risk assessment as the base for any risk treatment is widely regarded to be important, doing a risk assessment itself remains a challenge especially for complex large scaled networked systems. This paper presents an ongoing case study in which such a system is assessed. In ord

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Combining Security Risk Assessment and Security Testing Based on Standardsprehensive assessment of cyber security can be challenging as its spans across different domains of knowledge and expertise. For instance, identifying cyber security vulnerabilities requires detailed technical expertise and knowledge, while the assessment of organizational impact and legal implicati

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Validation of IT Risk Assessments with Markov Logic Networksmations, however, are subjective and thus prone to errors. We present an approach to detect anomalies in the result of risk assessments by considering information about inter-dependencies between various building blocks of IT landscapes from enterprise architecture management. We therefore integrate

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CyVar: Extending Var-At-Risk to ICTagent to acquire some access privileges and to the one it owns these privileges. To evaluate the former time, we use the security stress, a synthetic measure of the robustness of an ICT system. We approximate this measure through the Haruspex suite, an integrated set of tools that supports ICT risk

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Using CAPEC for Risk-Based Security Testing security test identification and prioritization. Since parts of the method can be automated, we believe that the method will speed up the process of constructing a risk model significantly. We also argue that the constructed risk model is suitable for security test identification and prioritization