Presentation 2006-09-15
Performance Evaluation of Flow Hog Identification Method
Noriaki KAMIYAMA, Tatsuya MORI, Ryoichi KAWAHARA,
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Abstract(in English) Worm-infected hosts generate a large number of flows during a short time. We proposed a method identifying hosts that generate many flows, i.e., flow hogs, using flow sampling. This method consists of a Bloom filter finding a new flow and a host table storing the sampled flow count of each host. We also proposed an optimum memory allocation method for each module to minimize the false negative ratio. To obtain the optimum identification threshold, we need to appropriately estimate the median of flow count for flow hogs. In this paper, we propose a method accurately estimating the median from the host set identified in the previous measurement period. We also show the results of performance comparisons with other methods.
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Keyword(in English) abusive traffic / worm / flow sampling / identification
Paper # IN2006-66
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Committee IN
Conference Date 2006/9/7(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Performance Evaluation of Flow Hog Identification Method
Sub Title (in English)
Keyword(1) abusive traffic
Keyword(2) worm
Keyword(3) flow sampling
Keyword(4) identification
1st Author's Name Noriaki KAMIYAMA
1st Author's Affiliation NTT Service Integration Laboratories, NTT Corporation()
2nd Author's Name Tatsuya MORI
2nd Author's Affiliation NTT Service Integration Laboratories, NTT Corporation
3rd Author's Name Ryoichi KAWAHARA
3rd Author's Affiliation NTT Service Integration Laboratories, NTT Corporation
Date 2006-09-15
Paper # IN2006-66
Volume (vol) vol.106
Number (no) 237
Page pp.pp.-
#Pages 6
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