| Presentation | 2021-12-17 IoT Device Identification based on Two-Stage Traffic Analysis Chikako Takasaki, Tomohiro Korikawa, Kyota Hattori, Hidenari Oowada, Masafumi Shimizu, Naoki Takaya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Internet of Things (IoT) are used for various purposes, and many heterogenious sensors and devices is connected to networks. We need to control quality of service (QoS) and manage connected devices to optimize network rsources and topologies, but no method to manage a lot of devices simply at low cost has been established . One of the methods for managing a lot of devices is device estimation by analyzing communication protocols and system logs. However, communication protocols or formats of system logs of devices are different, and it is difficult to uniformly manage devices. Therefore, we need a method to identify devices efficiently. In this paper, we propose a method to identify manufacturers and function categories (e.g. cameras and speakers) of devices by analyzing network traffic in multi-stages. We identify manufacturers of devices and IoT by analyzing packet headers and payloads with machine learning. Then, we identify function categories of devices, which are identified as IoT in the previous stage, by analyzing traffic waveforms with deep learning. We evaluate the device identification performance with our method and show that our method can identify manufacturers and function categories of devices. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Device identification / Traffic analysis / Machine learning / Deep learning |
| Paper # | NS2021-105 |
| Date of Issue | 2021-12-09 (NS) |
| Conference Information | |
| Committee | RCS / NS |
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| Conference Date | 2021/12/16(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nara-ken Bunka Kaikan and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Akihiro Nakao(Univ. of Tokyo) |
| Vice Chair | Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Tetsuya Oishi(NTT) |
| Secretary | Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(NTT) / Tetsuya Oishi(Chuo Univ.) |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Kotaro Mihara(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | IoT Device Identification based on Two-Stage Traffic Analysis |
| Sub Title (in English) | |
| Keyword(1) | Device identification |
| Keyword(2) | Traffic analysis |
| Keyword(3) | Machine learning |
| Keyword(4) | Deep learning |
| 1st Author's Name | Chikako Takasaki |
| 1st Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 2nd Author's Name | Tomohiro Korikawa |
| 2nd Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 3rd Author's Name | Kyota Hattori |
| 3rd Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 4th Author's Name | Hidenari Oowada |
| 4th Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 5th Author's Name | Masafumi Shimizu |
| 5th Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 6th Author's Name | Naoki Takaya |
| 6th Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| Date | 2021-12-17 |
| Paper # | NS2021-105 |
| Volume (vol) | vol.121 |
| Number (no) | NS-301 |
| Page | pp.pp.47-51(NS), |
| #Pages | 5 |
| Date of Issue | 2021-12-09 (NS) |