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An Hybrid Architecture to Enhance Attacks Detection on IT infrastructure

Contributo in Atti di convegno
Data di Pubblicazione:
2015
Abstract:
Nowadays, IT systems are widely used to support the services offered from any infrastructure. This allows the improvement of business processes but on the other hand it exposes the infrastructure to cyber-attacks. Misuse and anomaly detection are two widely adopted approaches to discover known and unknown cyberattacks. In this paper we provide an overview of the techniques currently adopted for misuse and anomaly detection and we discuss a conceptual architecture that exploits the advantages of both misuse and anomaly detection to improve cyber-security. Also we provide a conceptual description of an expert system that solves conflicts due to detection mismatches between misuse and anomaly detection techniques.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Misuse detection; Anomaly detection; Expert System
Elenco autori:
Paragliola, Giovanni; Sicuranza, Mario
Autori di Ateneo:
PARAGLIOLA GIOVANNI
SICURANZA MARIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/303172
Pubblicato in:
STUDIES IN COMPUTATIONAL INTELLIGENCE (PRINT)
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