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 :
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