Presentation | 2011-03-11 A Study on Device Identification Method in Home Network Sawako SATO, Ryuji YANATA, Hiroyuki MAEOMICHI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Trouble shooting of network in homes or small offices, which are not managed rigorously, starts with knowing devices connected to it. To identify diverse devices, this paper proposes (1) a method for identifying device utilizing machine learning method with features extracted exchanged protocols and (2) a method for collecting features of machines as Consumer Generated Media. We evaluated 20 devices and confirmed proposing method identified them properly. We also evaluated contribution of each feature to identification of device. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Device Identification / Home Network / Machine Learning / Consumer Generated Media (CGM) |
Paper # | ICM2010-69 |
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Committee | ICM |
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Conference Date | 2011/3/3(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 | Information and Communication Management(ICM) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Device Identification Method in Home Network |
Sub Title (in English) | |
Keyword(1) | Device Identification |
Keyword(2) | Home Network |
Keyword(3) | Machine Learning |
Keyword(4) | Consumer Generated Media (CGM) |
1st Author's Name | Sawako SATO |
1st Author's Affiliation | NTT COMWARE CORPORATION() |
2nd Author's Name | Ryuji YANATA |
2nd Author's Affiliation | NTT COMWARE CORPORATION |
3rd Author's Name | Hiroyuki MAEOMICHI |
3rd Author's Affiliation | NTT COMWARE CORPORATION |
Date | 2011-03-11 |
Paper # | ICM2010-69 |
Volume (vol) | vol.110 |
Number (no) | 466 |
Page | pp.pp.- |
#Pages | 6 |
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