TY - GEN
T1 - Geovisual analytics for cyber security
T2 - 2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011
AU - Giacobe, Nicklaus A.
AU - Xu, Sen
PY - 2011/12/1
Y1 - 2011/12/1
N2 - For the VAST 2011 Network Security Mini-Challenge, we adopted geovisual analytic methods and applied them in the field of network security. We used the GeoViz Toolkit [1] to represent cyber security events, by fabricating a simple "geography" of several sets of blocks (one for the workstations, one for the servers, and one for the Internet) using ArcGIS 10 (by ESRI - Environmental System Research Institute). Security data was tabulated using Perl scripts to parse the logs in order to create representations of event frequency and where they occurred on the network. The tabulated security data was then added as attributes of the geography. Exploration of the data and subsequent analysis of the meaning and impact of the cyber security events was made possible using the GeoViz Toolkit.
AB - For the VAST 2011 Network Security Mini-Challenge, we adopted geovisual analytic methods and applied them in the field of network security. We used the GeoViz Toolkit [1] to represent cyber security events, by fabricating a simple "geography" of several sets of blocks (one for the workstations, one for the servers, and one for the Internet) using ArcGIS 10 (by ESRI - Environmental System Research Institute). Security data was tabulated using Perl scripts to parse the logs in order to create representations of event frequency and where they occurred on the network. The tabulated security data was then added as attributes of the geography. Exploration of the data and subsequent analysis of the meaning and impact of the cyber security events was made possible using the GeoViz Toolkit.
UR - http://www.scopus.com/inward/record.url?scp=84855809292&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84855809292&partnerID=8YFLogxK
U2 - 10.1109/VAST.2011.6102491
DO - 10.1109/VAST.2011.6102491
M3 - Conference contribution
AN - SCOPUS:84855809292
SN - 9781467300131
T3 - VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
SP - 315
EP - 316
BT - VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
Y2 - 23 October 2011 through 28 October 2011
ER -