| Presentation | 2022-05-12 Distributed Network Intrusion Detection System Using Federated Learning Yuya Tsuru, Tomoya Kawakami, Tatsuhito Hasegawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A network-based intrusion detection system (NIDS) monitors a network and detects unauthorized traffic. Currently, a variety of research has been studied on NIDS, and machine learning has attracted much attention for performance improvement. However, the generalization performance of the trained model on a single organization is limited because it also has a limitation for the amount of data and features. In this paper, we propose a distributed NIDS using federated learning to preserve data privacy. The simulation results showed that the proposed system can achieve high accuracy with privacy protection. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | NIDS / machine learning / information security / privacy protection / network monitoring |
| Paper # | CQ2022-5 |
| Date of Issue | 2022-05-05 (CQ) |
| Conference Information | |
| Committee | CQ / CS |
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| Conference Date | 2022/5/12(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukui (Fuku Pref.) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. |
| Chair | Jun Okamoto(NTT) / Jun Terada(NTT) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Daisuke Umehara(Kyoto Inst. of Tech.) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Daisuke Umehara(NICT) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Takahiro Yamaura(Toshiba) / Yuta Ida(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Communication Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Distributed Network Intrusion Detection System Using Federated Learning |
| Sub Title (in English) | |
| Keyword(1) | NIDS |
| Keyword(2) | machine learning |
| Keyword(3) | information security |
| Keyword(4) | privacy protection |
| Keyword(5) | network monitoring |
| 1st Author's Name | Yuya Tsuru |
| 1st Author's Affiliation | University of Fukui(Univ. of Fukui) |
| 2nd Author's Name | Tomoya Kawakami |
| 2nd Author's Affiliation | University of Fukui(Univ. of Fukui) |
| 3rd Author's Name | Tatsuhito Hasegawa |
| 3rd Author's Affiliation | University of Fukui(Univ. of Fukui) |
| Date | 2022-05-12 |
| Paper # | CQ2022-5 |
| Volume (vol) | vol.122 |
| Number (no) | CQ-15 |
| Page | pp.pp.20-25(CQ), |
| #Pages | 6 |
| Date of Issue | 2022-05-05 (CQ) |