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Network Traffic Flow Analysis

Authors: Annie De Montigny-Leboeuf; Tim Symchych;

Network Traffic Flow Analysis

Abstract

Thousands of diverse applications and services flow daily over networks used by governments, industry, and private users. Attacks can be hidden within these information flows by disguising malicious network traffic to appear to be legitimate. Generally, TCP or UDP based protocols can be mapped to specific network services. However, intruders do hide unauthorized activity by using non-standard protocols or standard protocols in non-standard ways to avoid detection. This paper describes current work and future directions that the Network Security Research Group at the Communication Research Centre (CRC) will take to identify flows of information that disguise attacks. Research challenges include uncovering unauthorized activities in high-speed, high-volume network links and within protocols that are intended to obscure the details of the information carried.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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