| 大会名称 |
| 2016年 総合大会 |
| 大会コ－ド |
| 2016G |
| 開催年 |
|
2016
|
| 発行日 |
|
2016/3/1
|
| セッション番号 |
|
BS-3
|
| セッション名 |
|
Advanced Networking Technologies for Innovative Information Networks
|
| 講演日 |
|
2016/3/16
|
| 講演場所(会議室等) |
|
センター2号館 2F 2212
|
| 講演番号 |
|
BS-3-14
|
| タイトル |
|
Design of HELIOS, a Network Anomaly Visualization Tool
|
| 著者名 |
|
◎Matthias Gusenbauer, Romain Fontugne, Johan Mazel, Kensuke Fukuda,
|
| キーワード |
|
internet traffic, visualization, anomaly detection
|
| 抄録 |
|
In this paper we propose a tool to help network security analysist identifying and analyzing threats that arise from the operation of a computer network. There are many implemen- tations and proposals that leverage the power of heuristics for intrusion detection. However HELIOS leverages visualization to aid domain experts in their task to secure networks. Our Framework provides a broad deployment field ranging from real time analysis of streaming data to forensic contexts where an existing dataset needs to be analyzed.
|
| 本文pdf |
|
PDF download
|
