NORIA-O: An Ontology for Anomaly Detection and Incident Management in ICT Systems

Tracking #: 3334-4548

This paper is currently under review
Authors: 
Lionel Tailhardat
Yoan Chabot
Raphael Troncy

Responsible editor: 
Cogan Shimizu

Submission type: 
Ontology Description
Abstract: 
Large-scale Information and Communications Technology (ICT) systems give rise to difficult situations such as handling cascading failures across multiple platforms and detecting complex malicious activities occurring on multiple services and network layers. For network administrators and supervision teams, managing these situations while ensuring the high-standard quality of service and security of networks requires a comprehensive view on how communication devices are interconnected and are performing. However, the relevant information is spread across heterogeneous log sources and databases which triggers information integration challenges. There are several efforts to propose data models representing computing resources and how they are allocated for hosting services. However, to date, there is no model to describe the multiple interdependencies between the structural, dynamic, and functional aspects of a network infrastructure. In this paper, we propose the NORIA ontology that re-uses and extends well-known ontologies such as SEAS, FOLIO, UCO, ORG, BOT and BBO. NORIA has been developed together with network and cybersecurity experts in order to describe a network infrastructure, its events (user login, network route priority reconfiguration), diagnosis and repair actions (connectivity check, firmware upgrade) that are performed during incident management. A use case describing a failure on a fictitious network shows how this ontology can model complex ICT system situations and serve as a basis for anomaly detection and root cause analysis.
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Under Review