Comparative Study of Feature Selection Techniques Respecting Novelty Detection in the Industrial Control System Environment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520130" target="_blank" >RIV/70883521:28140/18:63520130 - isvavai.cz</a>

Result on the web

<a href="https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2018/155.pdf" target="_blank" >https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2018/155.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2507/29th.daaam.proceedings.155" target="_blank" >10.2507/29th.daaam.proceedings.155</a>

Result language

angličtina

Original language name

Comparative Study of Feature Selection Techniques Respecting Novelty Detection in the Industrial Control System Environment

Original language description

The emerging trend of interconnection between business processes and industrial processes resulted in a considerable number of cyber security incidents that show us how vulnerable Industrial Control Systems (ICS) are. These usually legacy systems were not designed with cyber security in mind. Therefore, there is a necessity for the reliable cyber security system. The anomaly detection based on machine learning techniques is the one potential way how to protect the system against cyber-attacks effectively. However, the ICS has become more sophisticated; therefore, produce high-dimensional datasets. Hence, the dimensionality reduction for the dataset is required due to high computational complexity. We introduce the comprehensive study on dimensionality reduction techniques which are applied to ICS network cyber security. Moreover, obtained results are evaluated by novelty detection algorithm where One-Class Support Vector Machine algorithm is used.

Czech name

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Czech description

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Type

D - Article in proceedings

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)

Project

<a href="/en/project/VI20172019054" target="_blank" >VI20172019054: An analitical software module for the real-time resilience evaluation from point of the converged security</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Annals of DAAAM and Proceedings of the International DAAAM Symposium

ISBN

978-3-902734-20-4

ISSN

1726-9679

e-ISSN

—

Number of pages

8

Pages from-to

1084-1091

Publisher name

DAAAM International Vienna

Place of publication

Vienna

Event location

Zadar

Event date

Oct 24, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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