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| Paper Abstract and Keywords | ||
| Presentation | 2023-03-03 11:00 Implementation and Evaluation of Real-Time Network Traffic Anomaly Detection in Edge Device Kota Tsuchie, Nobuyuki Nakamura, Taketsugu Yao (OKI)  IN2022-107 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | For intrusion detection to closed networks, NDR (Network Detection and Response) is an expected technology that analyzes network traffic. General NDR systems consist of traffic sensors at the network edge and an analyzing cloud server; however, in closed networks, they should be completed in edge devices to reduce detection delays. Therefore, we implement a real-time anomaly detection method on an edge device with limited computing resources. The method analyzes network traffic in units of flow and is activated on a VPU (Vision Processing Unit) hardware accelerator specialized in inferring deep learning models. We reveal the method's throughput and detectable anomaly traffic patterns by using actual network traffic. The result shows that if we mutually use two different operational models, device-oriented and network-oriented models, the proposed method detects various anomaly traffic patterns within 60 seconds up to 47 flows per second. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Closed Network / NDR / Network Edge / VPU / IoT / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 407, IN2022-107, pp. 247-252, March 2023. | |
| Paper # | IN2022-107 | |
| Date of Issue | 2023-02-23 (IN) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IN2022-107 |
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| Conference Information | |
| Committee | IN NS |
| Conference Date | 2023-03-02 - 2023-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Centre + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2023-03-IN-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Implementation and Evaluation of Real-Time Network Traffic Anomaly Detection in Edge Device |
| Sub Title (in English) | |
| Keyword(1) | Closed Network |
| Keyword(2) | NDR |
| Keyword(3) | Network Edge |
| Keyword(4) | VPU |
| Keyword(5) | IoT |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kota Tsuchie |
| 1st Author's Affiliation | Oki Electric Industry Co., Ltd. (OKI) |
| 2nd Author's Name | Nobuyuki Nakamura |
| 2nd Author's Affiliation | Oki Electric Industry Co., Ltd. (OKI) |
| 3rd Author's Name | Taketsugu Yao |
| 3rd Author's Affiliation | Oki Electric Industry Co., Ltd. (OKI) |
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| Speaker | Author-1 |
| Date Time | 2023-03-03 11:00:00 |
| Presentation Time | 20 minutes |
| Registration for | IN |
| Paper # | IN2022-107 |
| Volume (vol) | vol.122 |
| Number (no) | no.407 |
| Page | pp.247-252 |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (IN) |
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