Abstract
| Original language | English |
|---|---|
| Title of host publication | 2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment, Cyber SA 2017 |
| Publisher | Institute of Electrical and Electronic Engineers IEEE |
| ISBN (Electronic) | 978-1-5090-5060-4 |
| ISBN (Print) | 978-1-5090-5061-1 |
| DOIs | |
| Publication status | Published - 18 Oct 2017 |
| MoE publication type | A4 Article in a conference publication |
| Event | International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA) - London, United Kingdom Duration: 19 Jun 2017 → 20 Jun 2017 |
Conference
| Conference | International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA) |
|---|---|
| Abbreviated title | Cyber SA |
| Country | United Kingdom |
| City | London |
| Period | 19/06/17 → 20/06/17 |
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Keywords
- data visualization
- security
- monitoring
- visualization
- tools
- communication networks
- production facilities
Cite this
}
Visualizing network events in a muggle friendly way. / Latvala, Outi-Marja; Keränen, Tommi; Noponen, Sami; Lehto, Niko; Sailio, Mirko; Valta, Mikko; Olli, Pia.
2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment, Cyber SA 2017. Institute of Electrical and Electronic Engineers IEEE, 2017. 8073400.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Visualizing network events in a muggle friendly way
AU - Latvala, Outi-Marja
AU - Keränen, Tommi
AU - Noponen, Sami
AU - Lehto, Niko
AU - Sailio, Mirko
AU - Valta, Mikko
AU - Olli, Pia
PY - 2017/10/18
Y1 - 2017/10/18
N2 - This paper describes a work in progress for a proof of concept which visualizes network events of an industrial automation system in a 3D fish tank view. It aims to enable an automation operator, who most likely is a non-network-expert, to spot anomalies in network traffic and also to memorise past seen anomalies more easily. The developed solution builds upon three components: a Snort event-log forwarder, a database and the 3D fish tank to visualize the events. Different kind of fishes were chosen to present network nodes, and how they move in the fish tank describes the event. Visualization system was implemented using the Unity game engine. As this is still a work in progress, more development is needed; especially adding functionality to visualize normal network traffic besides Snort events is crucial. However, the first version showed interest among people, as this differs from traditional network event visualizations.
AB - This paper describes a work in progress for a proof of concept which visualizes network events of an industrial automation system in a 3D fish tank view. It aims to enable an automation operator, who most likely is a non-network-expert, to spot anomalies in network traffic and also to memorise past seen anomalies more easily. The developed solution builds upon three components: a Snort event-log forwarder, a database and the 3D fish tank to visualize the events. Different kind of fishes were chosen to present network nodes, and how they move in the fish tank describes the event. Visualization system was implemented using the Unity game engine. As this is still a work in progress, more development is needed; especially adding functionality to visualize normal network traffic besides Snort events is crucial. However, the first version showed interest among people, as this differs from traditional network event visualizations.
KW - data visualization
KW - security
KW - monitoring
KW - visualization
KW - tools
KW - communication networks
KW - production facilities
UR - http://www.scopus.com/inward/record.url?scp=85039938922&partnerID=8YFLogxK
U2 - 10.1109/CyberSA.2017.8073400
DO - 10.1109/CyberSA.2017.8073400
M3 - Conference article in proceedings
SN - 978-1-5090-5061-1
BT - 2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment, Cyber SA 2017
PB - Institute of Electrical and Electronic Engineers IEEE
ER -