SCADvanceXP – an intelligent Polish system for threat detection and monitoring of industrial networks
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] pracownik | [ D ] doktorant
2024
artykuł naukowy
angielski
- malware
- anomaly detection
- cybersecurity
- intrusion detection systems
- industrial networks
EN SCADvanceXP is an industrial network intrusion detection system that scans and monitors data exchange between engineering stations, field divides, controllers, SCADA and other elements of the OT network in detail. SCADvanceXP has the potential to detect advanced attacks on industrial infrastructures with the use of rule-based, signature-based and behavioural detection methods, which are supported by sophisticated machine and deep learning models. As a system developed in Poland, it addresses the needs of industry in that region of Europe. The goal of this work was to assess SCADvanceXP’s potential to detect common industrial threats. In order to check SCADvanceXP’s potential, an effort was undertaken to evaluate its functionally on major industrial threats. For that purpose, 12 malware strains interfering with industrial systems were described. Later, the SCADvanceXP functionality was overlapped on malware behavioural and detection markers, pointing out exact mechanisms in SCADvanceXP that would detect analysed threats. The results show that SCADvanceXP is able to detect a wide range of attacks on industrial networks. SCADvanceXP’s rich functionality is able to provide a high standard of security. However, if a threat is affecting systems not directly connected with industrial networks, SCADvanceXP will not be able to detect it. SCADvanceXP only monitors industrial systems, corporate networks must be protected by a different solution to provide the required level of security. Nonetheless, SCADvanceXP is dedicated to operating within industrial networks and does not have access to regular IT networks. It can be concluded, that SCADvanceXP is a specialist tool providing desired security for industrial networks.
CC BY (uznanie autorstwa)
otwarte czasopismo
ostateczna wersja opublikowana
przed opublikowaniem
100