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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

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A survey of visualization systems for network security.

Hadi Shiravi¹, Ali Shiravi, Ali A Ghorbani

¹Information Security Centre of Excellence, Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada. hadi.shiravi@unb.ca

IEEE Transactions on Visualization and Computer Graphics

|August 31, 2011

Summary

Security visualization requires novel techniques for analyzing security data. This review categorizes existing network security visualization methods and identifies future research directions.

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Area of Science:

Computer Science
Information Visualization
Cybersecurity

Background:

Traditional visualization techniques are inadequate for security data analysis.
The field of security visualization is emerging with significant research but lacks systematic study.
Network security data presents unique challenges for visualization.

Purpose of the Study:

To provide a comprehensive review of network security visualization.
To establish a taxonomy of security visualization use cases.
To identify challenges and future research directions in the field.

Main Methods:

Systematic literature review of network security visualization.
Development of a five-class taxonomy for use cases.
Analysis of incorporated visualization techniques and data sources.
Examination of issues and concerns in current systems.

Main Results:

A taxonomy encompassing five use-case classes for network security visualization.
An overview of visualization techniques and data sources used in the field.
Identification of key challenges and limitations in existing security visualization systems.
A structured table summarizing findings from reviewed works.

Conclusions:

Network security visualization is a critical but underdeveloped area.
A standardized taxonomy is needed to guide research and development.
Future work should focus on addressing identified challenges and developing novel visualization techniques tailored for security data.