ACM Home Page
Please provide us with feedback. Feedback
An Information Visualization Framework for Intrusion Detection
Full text PdfPdf (48 KB)
Source Conference on Human Factors in Computing Systems archive
CHI '04 extended abstracts on Human factors in computing systems table of contents
Vienna, Austria
SESSION: Late breaking result papers table of contents
Page: 1743  
Year of Publication: 2004
ISBN:1-58113-703-6
Authors
Anita Komlodi  Department of Information Systems, UMBC, Baltimore, MD 21250, USA
John R. Goodall  Department of Information Systems, UMBC, Baltimore, MD 21250, USA
Wayne G. Lutters  Department of Information Systems, UMBC, Baltimore, MD 21250, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 72,   Citation Count: 5
Additional Information:

references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/985921.1062935
What is a DOI?

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
1. Erbacher, R.F. Glyph-based generic network visualization. Proc. SPIE Conference on Visualization and Data Analysis, (2002), 228-237.
 
2
2. Erbacher, R., Walker, K., & Frincke, D. Intrusion and misuse detection in large-scale systems. IEEE Computer Graphics & Applications (2002), 1, 38-48.
 
3
3. Fortier, S.C. & Shombert, L.A. Network profiling and data visualization. Proc. IEEE Systems Man and Cybernetics Society Information Assurance and Security Workshop, (2000), 136-142.
 
4
 
5
5. Heady, R., Luger, G. Maccabe, A., & Servilla, M. The architecture of a network level intrusion detection system. Technical Report CS90-20, Dept of Computer Science, University of New Mexico (1990).
 
6
 
7
 
8
8. Snort. http://www.snort.org/
 
9
9. Solka, J.L., Marchette, D.J., and Wallet, B.C. Statistical visualization methods in intrusion detection. Computing Science and Statistics, (2000).
 
10
 
11
11. Yurcik, W., Barlow, J., Lakkaraju, K., & Haberman, M. Two visual computer network security monitoring tools incorporating operator interface requirements. CHI Workshop on HCI and Security Systems. (2003)


Collaborative Colleagues:
Anita Komlodi: colleagues
John R. Goodall: colleagues
Wayne G. Lutters: colleagues