Self-protecting systems heavily depend on the quality of information in input in the adaptation loop. Among the others, device and vulnerability inventories play a fundamental role in such systems, and improving their quality is paramount. This paper proposes a new version-based algorithm to filter out false positives from automatically generated inventories by minimizing the interactions with security experts.
Dettaglio pubblicazione
2024, Proceedings of the 2024 IEEE International Conference on Cyber Security and Resilience (CSR), Pages 76-81
A Version-Based Algorithm for Quality Enhancement of Automatically Generated Vulnerability Inventories (04b Atto di convegno in volume)
Bonomi Silvia, Cuoci Marco, Lenti Simone
ISBN: 979-8-3503-7536-7; 979-8-3503-7537-4
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