|
ABSTRACT
The scatterplot continues to be one of the most useful tools for visualizing numeric data, however what we typically encounter in Computer Security is categorical and/or textual in nature, and how to convert it into a form where scatterplots apply is not always obvious. We outline some simple ideas for doing this and illustrate with two "real data" case studies: User Profiling and Network Traffic. In both cases the results can be quite surprising.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
ftp://ftp.njit.edu/pub/manikopo/data.
|
| |
2
|
www.ll.mit.edu/IST/ideval/data/data_index.html.
|
| |
3
|
Joint work with m. s. postol.
|
| |
4
|
Renoir: General network visualization and manipulation program. http://www.nsa.gov/techtrans/techt00013.cfm.
|
| |
5
|
B. Davison and H. Hirsch. Predicting sequences of user actions. In AAAI/ICML 1998 Workshop on Predicting the Future, 1998.
|
| |
6
|
K. DeVault, N. Tucey, and D. Marchette. Analyzing process table and window title data for user identification in a windows environment. Naval Surface Warfare Center, NSWCDD/TR-03/122, 2004.
|
| |
7
|
T. Goldring. Authenticating users by profiling behavior. In ICDM Workshop on Data Mining for Computer Security. Melbourne, Florida, November 2003.
|
| |
8
|
Javitz and Valdes. The nides statistical component description and justification. http://www.sdl.sri.com/projects/nides/reports/statreport.ps.gz.
|
| |
9
|
T. Lane and C. E. Brodley. Sequence matching and learning in anomaly detection for computer security. In AAAI-97 Workshop on AI Approaches to Fraud Detection and Risk Management. Providence, RI, 1997.
|
| |
10
|
Y. Liao. Windows nt user profiling with support vector machines. In Proc. 2002 UC Davis Student Workshop on Computing, Technical Report CSE-2002-28. Dept. of Computer Science, UC Davis, 2002.
|
| |
11
|
David J. Marchette , V. Nair , M. Jordan , S. L. Lauritzen , J. Lawless, Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint, Springer-Verlag New York, Inc., Secaucus, NJ, 2001
|
| |
12
|
|
| |
13
|
|
| |
14
|
P. Reiher. File profiling for insider threats. Sensors Directorate, Air Force Research Laboratory, AFRL-SN-WP-TR-2002-1102, 2002.
|
| |
15
|
J. Shavlik, M. Shavlik, and M. Fahland. Evaluating software sensors for actively profiling windows 2000 computer users. In Fourth International Symposium on Recent Advances in Intrusion Detection. Davis, CA, 2001.
|
| |
16
|
|
| |
17
|
D. Swayne, D. Cook, A. Buja, and D. Lang. gobi manual. http://www.ggobi.org/manual.pdf, 2003.
|
| |
18
|
|
| |
19
|
M. Theus and M. Schonlau. Intrusion detection based on structural zeroes. Statistical Computing & Graphics Newsletter, 9(1):12--17, 1998.
|
|