NDLI: A2C: Anti-Attack Counters for Traffic Measurement

Content Provider	IEEE Xplore Digital Library
Author	Keqiang He Chengchen Hu Junchen Jiang Yachao Zhou Bin Liu
Copyright Year	2010
Abstract	Flow-level sampling methods have been widely studied and extensively employed in network traffic measurement systems. However, traffic anomalies are becoming more prevalent and severe in the Internet, which pose great challenges to the traffic measurement. Existing solutions targeted at such scenario have either low accuracy or high memory usage. In this paper, we propose a two-stage sampling approach-Anti Attack Counters (A2C) and an efficient parameter adapting method to solve the problem. The proposed sampling mechanism can adapt to the network condition automatically and collect more information even under severe traffic attacks. Theoretical analysis on accuracy and resource requirement is presented in our work. Furthermore, we validate our approach using both synthetic and real traces. The experimental results demonstrate that A2C is of high resilience while providing significantly improved measurement accuracy with reduced memory occupation comparing with other existing anti-attack countermeasures.
Starting Page	1
Ending Page	5
File Size	264925
Page Count	5
File Format	PDF
ISBN	9781424456369
ISSN	1930529X
e-ISBN	9781424456383
e-ISBN	9781424456376
DOI	10.1109/GLOCOM.2010.5684142
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radiation detectors Accuracy Estimation Noise measurement Memory management Resilience Sampling methods
Content Type	Text
Resource Type	Article

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