Presentation 2008-03-06
Online Method For Detecting High Packet-Rate Flows
Takanori KUDO, Tetsuya TAKINE,
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Abstract(in English) We present an online method which detects high packet-rate flows, such as DDoS attack flows, ensuring scalability. In our method, we collect traffic data by random packet-sampling to ensure scalability. At the same time, we use a sliding window technique in order to realize online detection when we renew sampled data which we have to examine. In this method, we have to determine the values of control parameters, such as the sampling rate and window size, to minimize the probability of the wrong detection, while keeping the probability of the detection error sufficiently low. We formulated the problem of determining control parameters as a nonlinear programming problem with constraints such as a permissible ratio of detection errors and permissible time for detection, and provide a way to determine the optimal control parameters. we then evaluate this method using measured traffic data and confirm that this method works well as designed.
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Keyword(in English) Anomaly Detection / Packet Sampling / Sliding Window Technique / Nonlinear Programming Problem
Paper # IN2007-165
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Committee IN
Conference Date 2008/2/28(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Online Method For Detecting High Packet-Rate Flows
Sub Title (in English)
Keyword(1) Anomaly Detection
Keyword(2) Packet Sampling
Keyword(3) Sliding Window Technique
Keyword(4) Nonlinear Programming Problem
1st Author's Name Takanori KUDO
1st Author's Affiliation Graduate School of Engineering, Osaka University()
2nd Author's Name Tetsuya TAKINE
2nd Author's Affiliation Graduate School of Engineering, Osaka University
Date 2008-03-06
Paper # IN2007-165
Volume (vol) vol.107
Number (no) 525
Page pp.pp.-
#Pages 6
Date of Issue