Inventories are precious sources of information for security-related processes. As a consequence, the quality of the data in the inventories plays a crucial role in the overall quality of the fed processes. This paper takes this challenge and provides heuristics to improve the accuracy of automatically generated inventories through a semi-automatic approach leveraging user knowledge.

A Semi-automatic Approach for Enhancing the Quality of Automatically Generated Inventories / Bonomi, Silvia; Cuoci, Marco; Lenti, Simone. - (2023), pp. 307-314. (Intervento presentato al convegno 2023 IEEE International Conference on Cyber Security and Resilience (CSR) tenutosi a Venice; Italy) [10.1109/csr57506.2023.10225003].

A Semi-automatic Approach for Enhancing the Quality of Automatically Generated Inventories

Bonomi, Silvia
;
Cuoci, Marco
;
Lenti, Simone
2023

Abstract

Inventories are precious sources of information for security-related processes. As a consequence, the quality of the data in the inventories plays a crucial role in the overall quality of the fed processes. This paper takes this challenge and provides heuristics to improve the accuracy of automatically generated inventories through a semi-automatic approach leveraging user knowledge.
2023
2023 IEEE International Conference on Cyber Security and Resilience (CSR)
vulnerability assessment; vulnerability filtering; cve
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A Semi-automatic Approach for Enhancing the Quality of Automatically Generated Inventories / Bonomi, Silvia; Cuoci, Marco; Lenti, Simone. - (2023), pp. 307-314. (Intervento presentato al convegno 2023 IEEE International Conference on Cyber Security and Resilience (CSR) tenutosi a Venice; Italy) [10.1109/csr57506.2023.10225003].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1726972
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