Counterfactual Causality in Networks
Georgiana Caltais, Can Olmezoglu
TL;DR
This paper introduces a framework that uses counterfactual causal reasoning to explain violations of safety properties in Software Defined Networks, aiming to improve understanding and debugging of network issues.
Contribution
The paper presents a novel counterfactual causality framework specifically designed for analyzing safety violations in Software Defined Networks.
Findings
Effective identification of causal factors behind safety violations.
Enhanced interpretability of network safety issues.
Potential for improved network debugging and safety assurance.
Abstract
In this abstract we propose a framework for explaining violations of safety properties in Software Defined Networks, using counterfactual causal reasoning.
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Taxonomy
TopicsInformation and Cyber Security · Safety Systems Engineering in Autonomy · Software Engineering Techniques and Practices