International Journal of Networked and Distributed Computing

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Volume 2, Issue 1, January 2014, Pages 45 - 53

An IDS Visualization System for Anomalous Warning Events

Authors
Satoshi Kimura, Hiroyuki Inaba
Corresponding Author
Satoshi Kimura
Received 18 February 2013, Accepted 19 November 2013, Available Online 1 January 2014.
DOI
10.2991/ijndc.2014.2.1.5How to use a DOI?
Keywords
IDS, Visualization, Log analysis, IP address
Abstract

Intrusion Detection System(IDS) has received attention to deal with the illegal access to the network. However, IDS has a critical problem which outputs a tremendous number of logs. Analyzing these logs apply a large amount of load to a network manager. 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.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
2 - 1
Pages
45 - 53
Publication Date
2014/01/01
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.2014.2.1.5How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Satoshi Kimura
AU  - Hiroyuki Inaba
PY  - 2014
DA  - 2014/01/01
TI  - An IDS Visualization System for Anomalous Warning Events
JO  - International Journal of Networked and Distributed Computing
SP  - 45
EP  - 53
VL  - 2
IS  - 1
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2014.2.1.5
DO  - 10.2991/ijndc.2014.2.1.5
ID  - Kimura2014
ER  -