Thesis Details

Aplikace pro statistickou analýzu ICS komunikace

Bachelor's Thesis Student: Chimenti Andrea Academic Year: 2021/2022 Supervisor: Burgetová Ivana, Ing., Ph.D.
English title
Application for Statistical Analysis of ICS Communication
Language
Czech
Abstract

This work aims to present the design and implementation of an application for statistical analysis of network traffic in ICS (Industrial Control Systems) communication. In the first place, the work presents Industrial Control Systems and some of their most common protocols. The protocol IEC 104 is described in more detail. This is followed by an introduction to the basic methods of descriptive statistics, that can be used to analyze industrial communication. For this purpose, several CSV datasets, that capture fragments of industrial communication, have been used. These datasets are used to show how some of the previously described statistical methods can be used. The work then describes the implementation of an application, which allows to analyze the datasets and obtain various statistics and a visual representation of the data. The main objective of the application is to make it easier for the user to find stable characteristics that can be used for anomaly and attack detection. Finally, the benefits that the application brings are demonstrated on a set of datasets containing different types of attacks.

Keywords

industrial communication, industrial control systems, SCADA systems, IEC 60870-5-104, statistical analysis, measures of position, measures of variability, line graph, vectorization, Python

Department
Degree Programme
Files
Status
defended, grade B
Date
16 June 2022
Reviewer
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Citation
CHIMENTI, Andrea. Aplikace pro statistickou analýzu ICS komunikace. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-16. Supervised by Burgetová Ivana. Available from: https://www.fit.vut.cz/study/thesis/24837/
BibTeX
@bachelorsthesis{FITBT24837,
    author = "Andrea Chimenti",
    type = "Bachelor's thesis",
    title = "Aplikace pro statistickou anal\'{y}zu ICS komunikace",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24837/"
}
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