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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 Journal of Systems a...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
Journal of Systems and Software
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
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Data sources: DBLP
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Chaos-based detection of LDoS attacks

Authors: Zhijun Wu 0001; Jin Lei; Di Yao; Minghua Wang; Sarhan M. Musa;

Chaos-based detection of LDoS attacks

Abstract

A low-rate denial of service (LDoS) attack behaves as a small signal in periodic pulses with low average rate, which hides in normal TCP traffic stealthily. LDoS attacks reduce link throughput and degrade QoS of a target. An approach of detecting LDoS attacks is proposed based on Duffing oscillator in chaos systems. The approach detects LDoS attacks by adopting the technology of digital signal processing (DSP), which takes an LDoS attack as a small signal and normal TCP traffic as background noise. Duffing oscillator is used to detect LDoS attacks in normal TCP traffic. Simulations show that the LDoS attacks can be detected through diagram of the chaotic state, and the period and pulse width of LDoS attacks can be estimated.

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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!
17
Top 10%
Top 10%
Average
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