Security Modules for Securing Industrial Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU142636" target="_blank" >RIV/00216305:26220/22:PU142636 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9742069" target="_blank" >https://ieeexplore.ieee.org/document/9742069</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CECIT53797.2021.00199" target="_blank" >10.1109/CECIT53797.2021.00199</a>

Result language
angličtina
Original language name
Security Modules for Securing Industrial Networks
Original language description
This article focuses on the incident detection techniques of communication in the Modbus/TCP protocol. Modbus/TCP does not implement authentication or communication encryption. Therefore, a Modbus Security Module was created allowing sniffing a specific network traffic and parsing particular information from the packets. This information is stored in a database using PostgreSQL on each master and slave station. Such a technique brings a new way to perform incident detection and to evaluate the transmitted packet's authenticity and integrity. Data taken from the database are used for an incident detection via a trained neural network. Using the presented approach, it is possible to detect all attacks targeting the slave station (originating from a non-master station). Using a neural network, it is possible to detect simulated attacks (originating from a master station) with an accuracy of 99.52 %. There is an additional authentication of individual stations using the created SSH connection between databases. For the proposal evaluation, IEEE dataset was used, where a significant increase of the neural network's accuracy was achieved using the proposed method.
Czech name
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Czech description
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Project
<a href="/en/project/FV40366" target="_blank" >FV40366: Data Monitoring to Increase the Reliability of Smart Factory Processes</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT 2021)
ISBN
978-1-6654-3757-8
ISSN
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e-ISSN
—
Number of pages
8
Pages from-to
1125-1132
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
neuveden
Event location
Sanya
Event date
Dec 27, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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