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A user-centered approach to visualizing network traffic for intrusion detection
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Source Conference on Human Factors in Computing Systems archive
CHI '05 extended abstracts on Human factors in computing systems table of contents
Portland, OR, USA
SESSION: Late breaking results: short papers table of contents
Pages: 1403 - 1406  
Year of Publication: 2005
ISBN:1-59593-002-7
Authors
John R. Goodall  UMBC, Baltimore, MD
A. Ant Ozok  UMBC, Baltimore, MD
Wayne G. Lutters  UMBC, Baltimore, MD
Penny Rheingans  UMBC, Baltimore, MD
Anita Komlodi  UMBC, Baltimore, MD
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Intrusion detection (ID) analysts are charged with ensuring the safety and integrity of today's high-speed computer networks. Their work includes the complex task of searching for indications of attacks and misuse in vast amounts of network data. Although there are several information visualization tools to support ID, few are grounded in a thorough understanding of the work ID analysts perform or include any empirical evaluation. We present a user-centered visualization based on our understanding of the work of ID and the needs of analysts derived from the first significant user study of ID. The tool presents analysts with both 'at a glance' understanding of network activity, and low-level network link details. Results from preliminary usability testing show that users performed better and found easier those tasks dealing with network state in comparison to network link tasks.


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.

 
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Erbacher, R., Walker, K., & Frincke, D. Intrusion and misuse detection in large-scale systems. IEEE Computer Graphics & Applications 1 (2002), 38--48.
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Stolze, M., Pawlitzek, R., and Wespi, A. Visual Problem-Solving Support for New Event Triage in Centralized Network Security Monitoring. Proc.GI- SIDAR Conference IT Incident Management & IT Forensics, (2003).
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Yurcik, W., Barlow, J., Lakkaraju, K., & Haberman, M. Two visual computer network security monitoring tools incorporating operator interface requirements. ACM CHI Workshop on HCI and Security Systems, (2003).


Collaborative Colleagues:
John R. Goodall: colleagues
A. Ant Ozok: colleagues
Wayne G. Lutters: colleagues
Penny Rheingans: colleagues
Anita Komlodi: colleagues