Title :
Visualizing Network Status
Author :
Yoshida, Kenichi ; Shomura, Yusuke ; Watanabe, Yoshinori
Author_Institution :
Univ. of Tsukuba, Tokyo
Abstract :
The recent evolution of various communication devices makes both network monitoring and configuration difficult. Although these network management tasks require deep understanding of network status, various new network devices make it difficult by increasing the complexity of whole network system. This paper proposes a visualization technique of network status that uses a frequent itemset mining algorithm to find important phenomena in the network. We also show that a simple interface with the proposed technique can visualize not only the ordinal network status but also the various security incidents. The understanding of the ordinal network status and the rapid finding of security incident helps the naive users in monitoring and configuring network equipments. Finding of various security incidents from real Internet traffic data are described as the typical usage of the proposed visualization technique.
Keywords :
data mining; telecommunication network management; telecommunication security; frequent itemset mining; network management task; network monitoring; network status visualization; Computer crime; Computerized monitoring; Data mining; Data security; Data visualization; Electronics packaging; Internet; Itemsets; Machine learning; TCPIP; Data mining; Network monitoring;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370490