DocumentCode :
586481
Title :
situ: Situational understanding and discovery for cyber attacks
Author :
Harrison, Lane ; Laska, Jason ; Spahn, Riley ; Iannacone, Mike ; Downing, Evan ; Ferragut, Erik M. ; Goodall, John R.
Author_Institution :
Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A.
fYear :
2012
fDate :
14-19 Oct. 2012
Firstpage :
307
Lastpage :
308
Abstract :
Our entry into the VAST 2012 Mini Challenge 2 is a streaming visual analytic system that scores events based on anomalousness and maliciousness and presents each event to the user in a user-defined groupings in animated small-multiple views. The anomaly detection algorithm identifies low probability events, supporting awareness regarding atypical traffic patterns on the network. The maliciousness classifier incorporates both situated knowledge of an environment (policy and machine roles) and domain knowledge (encoded in the IDS alerts). We discuss the visualization design and classification techniques, as well as provide examples of timely detection from the challenge dataset.
Keywords :
H.5.2 [Information Interfaces & Presentations]: User Interfaces - Graphical User Interfaces (GUI); I.3.6 [Methodology and Techniques]; Interaction Techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4752-5
Type :
conf
DOI :
10.1109/VAST.2012.6400503
Filename :
6400503
Link To Document :
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