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Erschienen in:
2013 | OriginalPaper | Buchkapitel
An IDS Visualization System for Anomalous Warning Events
verfasst von : Satoshi Kimura, Hiroyuki Inaba
Erschienen in: Computer and Information Science
Verlag: Springer International Publishing
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Recently, illegal access to the network is increasing. It has been a serious problem. To deal with this problem, necessity of Intrusion Detection System(IDS) is increasing. IDS is the notifying system of network manager to inspect symptoms of the illegal access. IDS enables us to early detect threatening attack to the computers and to deal with its attacks. However there is a problem of IDS. It is tremendous warning logs especially for large scale network. Analyzing these logs apply a large amount of load to a network manager. To overcome this problem, there exist several methods for analyzing logs based on past tendency and some visualization methods for the logs. In this paper, we propose a novel visualization system of IDS considering order relation of IP addresses that emphasize the anomalous warning events based on past tendency.