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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2009 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Traffic Trace Engineering

Authors: Pham Van Dung; Marat Zhanikeev; Yoshiaki Tanaka;

Traffic Trace Engineering

Abstract

Traffic traces captured from backbone links have been widely used in traffic analysis for many years. By far the most popular use of such traces is replay where conditions and states of the original traffic trace are recreated almost identically in simulation or emulation environments. When the end target of such research is detection of traffic anomalies, it is crucial that some anomalies are found in the trace in the first place. Traces with many real-life anomalies are rare, however. This paper pioneers a new area of research where traffic traces are engineered to contain traffic anomalies as per user request. The method itself is non-intrusive by retaining the IP address space found in the original trace. Engineering of several popular anomalies are shown in the paper while the method is flexible enough to accommodate any level of traffic trace engineering in the future.

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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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