DocumentCode
3692686
Title
Identification of problems in industrial networks using data mining techniques
Author
Halenar Igor;Kebisek Michal;Ondrej Tadanai
Author_Institution
Institute of Applied Informatics, Automation and Mechatronics, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology, Slovakia
fYear
2015
Firstpage
295
Lastpage
300
Abstract
The reliability of modern industrial networks depends on many factors. Due to the complexity of communication systems there are many ways how to compromise data in communication networks. Due to these facts it is necessary to use a new ways of faults detection. The article describes the possible use of data mining techniques in association with classic detection systems such as IDS and firewall. The main part of the article is a proposal of fault detection system using KDD techniques and description of data flows in proposed system.
Keywords
"Data mining","Databases","Firewalls (computing)","Protocols","Intrusion detection","Neural networks","Communication networks"
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems (INES), 2015 IEEE 19th International Conference on
Type
conf
DOI
10.1109/INES.2015.7329724
Filename
7329724
Link To Document