| Presentation | 2020-12-15 Application Identification Method with Meta-Learning Shun Tobiyama, Bo Hu, Kazunori Kamiya, Kenji Takahashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the continuous evolution of the Internet, a variety of web applications, such as video streaming, social network services, and web meeting services, are widely used, significantly increasing the amount of traffic. Classifying what types of network traffic in detail uses networks is important from the perspectives of resource management and threat analysis. Researchers has proposed methods for identifying applications from flow data using machine learning techniques. However, it is difficult to create a large amount of training data because a flow data does not contain information of application layer while existing machine learning techniques needs a large amount of training data. Thus, in this paper, we use a method called "Meta-Learning" which enables us to construct models with a small amount of data to solve this problem. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Traffic Identification / Network Flow / Meta-Learning |
| Paper # | IN2020-40 |
| Date of Issue | 2020-12-07 (IN) |
| Conference Information | |
| Committee | IA / IN |
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| Conference Date | 2020/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
| Chair | Hiroyuki Osaki(Kwansei Gakuin Univ.) / Kenji Ishida(Hiroshima City Univ.) |
| Vice Chair | Rei Atarashi(IIJ) / Toru Kondo(Hiroshima Univ.) / Hiroshi Yamamoto(Ritsumeikan Univ.) / Kunio Hato(Internet Multifeed) |
| Secretary | Rei Atarashi(Kwansei Gakuin Univ.) / Toru Kondo(KDDI Research) / Hiroshi Yamamoto(NEC) / Kunio Hato(Hiroshima City Univ.) |
| Assistant | Kenji Ohira(Osaka Univ.) / Daiki Nobayashi(Kyushu Inst. of Tech.) / Ryohei Banno(Kogakuin Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture / Technical Committee on Information Networks |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application Identification Method with Meta-Learning |
| Sub Title (in English) | |
| Keyword(1) | Traffic Identification |
| Keyword(2) | Network Flow |
| Keyword(3) | Meta-Learning |
| 1st Author's Name | Shun Tobiyama |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 2nd Author's Name | Bo Hu |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 3rd Author's Name | Kazunori Kamiya |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 4th Author's Name | Kenji Takahashi |
| 4th Author's Affiliation | NTT Limited(NTT Ltd.) |
| Date | 2020-12-15 |
| Paper # | IN2020-40 |
| Volume (vol) | vol.120 |
| Number (no) | IN-293 |
| Page | pp.pp.43-48(IN), |
| #Pages | 6 |
| Date of Issue | 2020-12-07 (IN) |