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Active network based DDoS defense

Authors: D. Sterne; K. Djahandari; R. Balupari; W. La Cholter; B. Babson; B. Wilson; P. Narasimhan; +3 Authors

Active network based DDoS defense

Abstract

Prior research on active networks has outlined a vision of broad applicability. We present rationale and techniques for applying active network concepts and technology to the automated intrusion response problem domain, and in particular, automated defense against distributed denial-of-service (DDoS) attacks. We describe our experience exploring these ideas via prototyping using the Secure ANTS execution environment in a deployment scenario that requires active programs to migrate across network administration boundaries. From this experience, observations are drawn on the suitability of active networks for this problem domain.

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    15
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
15
Average
Top 10%
Top 10%
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