Software Engineering Institute

Towards Reliable Traffic Classification Using Visual Motifs

January 11, 2010 • Presentation

By

Wilson Lian (University of North Carolina, Chapel Hill), John McHugh, and Fabian Monrose (University of North Carolina, Chapel Hill)

In this presentation, the authors provide an overview of traffic classification, and discuss and evaluate visual motifs.

Publisher

Software Engineering Institute

Topic or Tag

Flocon Situational Awareness

Abstract

In this presentation, the authors provide an overview of traffic classification, and discuss and evaluate visual motifs.

Part of a Collection

FloCon 2010 Collection

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