| Presentation | 2022-03-09 Unknown IoT Device Recognition Using Traffic Classification by Machine Learning Jun Motoyama, Takumi Miyoshi, Taku Yamazaki, Thomas Silverston, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Internet of things (IoT) has become widespread, and it is predicted that the number of IoT devices will continue to increase. In response to this rapid proliferation, it is difficult to keep track of the status of a large number of IoT devices, which raises the issue of security. In previous research, many methods have been proposed to classify devices using machine learning for multiple devices, but few methods have been developed to predict or discover unknown devices using the resulting learning models. This paper proposes a method to classify unknown IoT devices by identifying the traffic generated by the devices using machine learning, assuming a network that many IoT devices are connected to. The experimental results show that the proposed method can classify devices without misrecognition in terms of security. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Machine learning / IoT / Device estimation |
| Paper # | CQ2021-100 |
| Date of Issue | 2022-03-02 (CQ) |
| Conference Information | |
| Committee | CQ / IMQ / MVE / IE |
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| Conference Date | 2022/3/9(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online (Zoom) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc |
| Chair | Jun Okamoto(NTT) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(RIKEN) / Kazuya Kodama(NII) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Mitsuru Maeda(Canon) / Kiyoshi Kiyokawa(NAIST) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Mitsuru Maeda(Nagoya Univ.) / Kiyoshi Kiyokawa(NTT) / Hiroyuki Bandoh(Oosaka Inst. of Tech.) / Toshihiko Yamazaki(NTT) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Masato Tsukada(NEC) / Takashi Yamazoe(Seikei Univ.) / Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Engineering |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Unknown IoT Device Recognition Using Traffic Classification by Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Machine learning |
| Keyword(2) | IoT |
| Keyword(3) | Device estimation |
| 1st Author's Name | Jun Motoyama |
| 1st Author's Affiliation | Shibaura Institute of Technology(Shibaura Inst. Tech.) |
| 2nd Author's Name | Takumi Miyoshi |
| 2nd Author's Affiliation | Shibaura Institute of Technology(Shibaura Inst. Tech.) |
| 3rd Author's Name | Taku Yamazaki |
| 3rd Author's Affiliation | Shibaura Institute of Technology(Shibaura Inst. Tech.) |
| 4th Author's Name | Thomas Silverston |
| 4th Author's Affiliation | Shibaura Institute of Technology(Shibaura Inst. Tech.) |
| Date | 2022-03-09 |
| Paper # | CQ2021-100 |
| Volume (vol) | vol.121 |
| Number (no) | CQ-421 |
| Page | pp.pp.1-4(CQ), |
| #Pages | 4 |
| Date of Issue | 2022-03-02 (CQ) |