Identification of problems in industrial networks using data mining techniques

被引：0

作者：

Igor, Halenar ^{[1
]}

Michal, Kebisek ^{[1
]}

Tadanai, Ondrej ^{[1
]}

机构：

[1] Slovak Univ Technol, Inst Appl Informat Automat & Mechatron, Fac Mat Sci & Technol Trnava, Trnava, Slovakia

来源：

INES 2015 - IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS | 2015年

关键词：

data mining; industrial network; detection; error; algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：295 / 300

页数：6

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