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/).
Cite this article
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 -