| Presentation | 2022-05-12 [Encouragement Talk] IoT Device Identification based on Two-Stage Traffic Analysis Chikako Takasaki, Tomohiro Korikawa, Kyota Hattori, Hidenari Ohwada, Masafumi Shimizu, |
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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 heterogeneous sensors and devices is connected to networks. We need to control quality of service (QoS) and manage connected devices to optimize network resources 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 # | NS2022-8 |
| Date of Issue | 2022-05-05 (NS) |
| Conference Information | |
| Committee | NS |
|---|---|
| Conference Date | 2022/5/12(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Rakuyu Kaikan, Kyoto Univ. + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | High level protocol, Networking technologies (IP and high-layer routing/filtering, Multicast, Quality/Routing control), IP network application technologies (P2P, P4P, Overlay, SIP, NGN), Network system related technologies (System configuration, Interface, Architecture, Hardware/Software/Middleware), Security, Blockchain etc. |
| Chair | Akihiro Nakao(Univ. of Tokyo) |
| Vice Chair | Tetsuya Oishi(NTT) |
| Secretary | Tetsuya Oishi(NTT) |
| Assistant | Kotaro Mihara(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Encouragement Talk] 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 Ohwada |
| 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) |
| Date | 2022-05-12 |
| Paper # | NS2022-8 |
| Volume (vol) | vol.122 |
| Number (no) | NS-16 |
| Page | pp.pp.1-5(NS), |
| #Pages | 5 |
| Date of Issue | 2022-05-05 (NS) |