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Daniel Sheleheda

dblp:07/509 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Network and information security
1 paper
Network security · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › graph visualization
network traffic visualization
0.112007
Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats · IEEE Trans. Vis. Comput. Graph. 2007
Visualization and visual analytics › hierarchical data visualization
treemap
0.112007
Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats · IEEE Trans. Vis. Comput. Graph. 2007
Network security
traffic analysis
0.012007
Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats · IEEE Trans. Vis. Comput. Graph. 2007
YearPublicationVenuePosition
2007 Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats
abstract
The Internet has become a wild place: malicious code is spread on personal computers across the world, deploying botnets ready to attack the network infrastructure. The vast number of security incidents and other anomalies overwhelms attempts at manual analysis, especially when monitoring service provider backbone links. We present an approach to interactive visualization with a case study indicating that interactive visualization can be applied to gain more insight into these large data sets. We superimpose a hierarchy on IP address space, and study the suitability of Treemap variants for each hierarchy level. Because viewing the whole IP hierarchy at once is not practical for most tasks, we evaluate layout stability when eliding large parts of the hierarchy, while maintaining the visibility and ordering of the data of interest.
Florian Mansmann, Daniel A. Keim, Stephen C. North, Brian Rexroad, Daniel Sheleheda
IEEE Trans. Vis. Comput. Graph.5