NCDS: data mining for discovering interesting network characteristics

被引：3

作者：

Zaki, M ^{[1
]}

Sobh, TS

机构：

[1] Al Azhar Univ, Dept Syst & Comp Engn, Cairo 12311, Egypt

[2] Egyptian Armed Forces, Dept Informat Syst, Cairo, Egypt

来源：

INFORMATION AND SOFTWARE TECHNOLOGY | 2005年 / 47卷 / 03期

关键词：

data mining; network management; abstraction; pattern discovery;

D O I：

10.1016/j.infsof.2004.08.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an approach to observe network characteristics based on data mining framework. Consequently, such observations may be expressed in structured patterns to support the process of network planning. The underlying system monitors the network protocol tables that describe each network connection or host session in order to discover interesting patterns. To achieve this purpose a data abstraction procedure is applied to learn rules that may express the behavior of network characteristics. Thus, the system is capable to discover various operational patterns, provide sensible advices, and support the network planning activity. A database system has been designed and implemented for monitoring the network traffic. Also the results from the experiments have been used to classify real traffic data. The system presented in this paper called network characteristics discovery system. (C) 2004 Published by Elsevier B.V.

引用

页码：189 / 198

页数：10