Flow based monitoring of ICS communication in the smart grid
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138657" target="_blank" >RIV/00216305:26230/20:PU138657 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S2214212619311329" target="_blank" >http://www.sciencedirect.com/science/article/pii/S2214212619311329</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jisa.2020.102535" target="_blank" >10.1016/j.jisa.2020.102535</a>
Alternative languages
Result language
angličtina
Original language name
Flow based monitoring of ICS communication in the smart grid
Original language description
A smart grid network is a part of critical infrastructure, and its interruption or blackout may cause fatal consequences on energy production, distribution, and eventually lives of people. Smart grid networks can be a target of cyber attacks coming from the outside or the inside of the network. Traditional smart grid protection includes firewalls and IDS/IPS devices that are usually deployed on edges of the network where they inspect incoming and outgoing traffic. This approach is adequate to cope with external threats. In case of internal threats caused by, for instance, the malware infecting the control station, it is not easy to detect malicious activity commonly masked as legitimate communication at the network edge. For the successful identification of cyber security attacks, two essential elements are necessary. The first is the visibility of the Industrial Control System (ICS) communication, which enables a smart grid operator to see real-time transmissions in the network. The second important part is an anomaly detection system that analyzes monitoring data and identifies possible cyber security attacks. This paper presents a novel system for monitoring ICS/SCADA protocols based on IP flows extended with application layer data obtained from ICS packet headers. The monitoring system provides an in-depth insight into ICS communication. By applying statistical-based methods or creating communication profiles using probabilistic automata, common security attacks, as well as unknown threats, can be identified. The proposed approach is demonstrated on IEC 60870-5-104 communication.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VI20192022138" target="_blank" >VI20192022138: Security monitoring of ICS communication in the smart grid</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Information Security and Applications
ISSN
2214-2126
e-ISSN
2214-2134
Volume of the periodical
2020
Issue of the periodical within the volume
54
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
102535-102535
UT code for WoS article
000572992000011
EID of the result in the Scopus database
2-s2.0-85086142718