Leveraging knowledge graphs for classifying incident situations in ICT systems

Tailhardat, Lionel; Chabot, Yoan; Troncy, Raphaël
GRASEC 2023, International Workshop on Graph-based Approaches for CyberSecurity, to be held in conjunction with the 18th International Conference on Availability, Reliability and Security, 29 August-1 September 2023, Benevento, Italy

We propose to use knowledge graphs and explicit representation of incident context to enable support teams to provide a quick and effective response to complex incident situations. We make use of an RDF knowledge graph generated from a real industrial settings and representing the network topology in terms of equipments and applications, past incidents and their resolutions. We then demonstrate the effectiveness of using a graph embeddings-based classifier to categorize incident tickets based on context and link anomaly models with their logical representation.


DOI
Type:
Conference
City:
Benevento
Date:
2023-08-29
Department:
Data Science
Eurecom Ref:
7342
Copyright:
© ACM, 2023. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in GRASEC 2023, International Workshop on Graph-based Approaches for CyberSecurity, to be held in conjunction with the 18th International Conference on Availability, Reliability and Security, 29 August-1 September 2023, Benevento, Italy https://doi.org/10.1145/3600160.3604991

PERMALINK : https://www.eurecom.fr/publication/7342