Software engineers and security professionals rely on a variety of sources of information, including known vulnerabilities, newly identified weaknesses, and threats, as well as attack patterns and current mitigations. Such information, spread across different places, results in an increased effort for developers in following all the cross-referenced data and finding appropriate solutions to their security issues in a timely manner. Software developers cannot have a good knowledge of the breadth of the different issues and vulnerabilities that are constantly increasing in time; the raising number of security issues to tackle cannot be matched by software developers which need more help from intelligent tools. Therefore, in this work, we present CyberGraph, a tool to automatically build and update a single, easily queryable cybersecurity knowledge graph by automatically linking heterogeneous data from different public repositories. The resulting unique integrated dataset, thanks to its magnitude, allows the execution of sophisticated queries that can quickly provide new insights and valuable perspectives.

Building a Cybersecurity Knowledge Graph with CyberGraph

Falcarin, Paolo
;
Dainese, Fabio
2024-01-01

Abstract

Software engineers and security professionals rely on a variety of sources of information, including known vulnerabilities, newly identified weaknesses, and threats, as well as attack patterns and current mitigations. Such information, spread across different places, results in an increased effort for developers in following all the cross-referenced data and finding appropriate solutions to their security issues in a timely manner. Software developers cannot have a good knowledge of the breadth of the different issues and vulnerabilities that are constantly increasing in time; the raising number of security issues to tackle cannot be matched by software developers which need more help from intelligent tools. Therefore, in this work, we present CyberGraph, a tool to automatically build and update a single, easily queryable cybersecurity knowledge graph by automatically linking heterogeneous data from different public repositories. The resulting unique integrated dataset, thanks to its magnitude, allows the execution of sophisticated queries that can quickly provide new insights and valuable perspectives.
2024
EnCyCriS/SVM '24
File in questo prodotto:
File Dimensione Formato  
falcarin-dainese-cybergraph.pdf

accesso aperto

Tipologia: Versione dell'editore
Licenza: Accesso gratuito (solo visione)
Dimensione 1.76 MB
Formato Adobe PDF
1.76 MB Adobe PDF Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5071901
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact