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HOLASOVÁ, E. KUCHAŘ, K. FUJDIAK, R. BLAŽEK, P. MIŠUREC, J.
Original Title
Security Modules for Securing Industrial Networks
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Database; Incident Detection; Modbus; Neural Network; Security
Authors
HOLASOVÁ, E.; KUCHAŘ, K.; FUJDIAK, R.; BLAŽEK, P.; MIŠUREC, J.
Released
1. 1. 2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN
978-1-6654-3757-8
Book
2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT 2021)
Pages from
1125
Pages to
1132
Pages count
8
URL
https://ieeexplore.ieee.org/document/9742069
BibTex
@inproceedings{BUT175438, author="Eva {Holasová} and Karel {Kuchař} and Radek {Fujdiak} and Petr {Blažek} and Jiří {Mišurec}", title="Security Modules for Securing Industrial Networks", booktitle="2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT 2021)", year="2022", pages="1125--1132", publisher="Institute of Electrical and Electronics Engineers Inc.", doi="10.1109/CECIT53797.2021.00199", isbn="978-1-6654-3757-8", url="https://ieeexplore.ieee.org/document/9742069" }