Improving security incidents detection for networked multilevel intelligent control systems in railway transport
Security monitoring and incident management systems have become the main research focus in the area of intelligent railway control systems. In this work, we discuss a system architecture of multilevel intelligent control system in Russian Railway transport and security incident classification and th...
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Published in: | Telfor Journal Vol. 8; no. 1; pp. 14 - 19 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Telecommunications Society, Academic Mind
2016
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Subjects: | |
Online Access: | Get full text |
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Summary: | Security monitoring and incident management systems have become the main research focus in the area of intelligent railway control systems. In this work, we discuss a system architecture of multilevel intelligent control system in Russian Railway transport and security incident classification and the handling of theprocess. We make a detailed explanation of problems and tasks of security information and event management system as an important part of a multilevel intelligent control system. We use a rough sets theory to detect an abnormal activity in the considered system. Our main result consists in the development of simple and fast detection techniques that are based on rough sets theory and allow investigating a new type of incidents. |
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ISSN: | 1821-3251 |
DOI: | 10.5937/telfor1601014C |