Presentation | 2006-07-21 Optimum Memory Allocation in Identifying Flow Hogs Noriaki KAMIYAMA, Tatsuya MORI, Ryoichi KAWAHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Hosts infected by worm generate huge amount of flows during a short time, so it is important to identify these flow hogs as soon as possible. We proposed a method identifying 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 for each host. In this paper, we propose an optimum memory allocation method for each module to minimize the false negative ratio. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | abusive traffic / flow hog / flow sampling / identification / resource allocation |
Paper # | NS2006-68 |
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Committee | NS |
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Conference Date | 2006/7/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Network Systems(NS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Optimum Memory Allocation in Identifying Flow Hogs |
Sub Title (in English) | |
Keyword(1) | abusive traffic |
Keyword(2) | flow hog |
Keyword(3) | flow sampling |
Keyword(4) | identification |
Keyword(5) | resource allocation |
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 | 2006-07-21 |
Paper # | NS2006-68 |
Volume (vol) | vol.106 |
Number (no) | 167 |
Page | pp.pp.- |
#Pages | 4 |
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