| Paper Abstract and Keywords |
| Presentation |
2021-09-09 13:30
{Architecture for Configurable Real-time Device Identification in Campus Core Networks Kohei Hayashi (Osaka City Univ.), Kota Tuchie, Nobuyuki Nakamura, Taketsugu Yao (OKI), Shingo Ata (Osaka City Univ.) IN2021-14 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, data traffic of IoT devices is increasing rapidly. In order to achieve a secure management of large-scale network, it is important to have a technology to monitor at the core network, identify types of connected devices accurately in real-time. Device identification is one of important technology, whose process consists of following three steps; flow classification, calculation of feature statistics of flows, learning-based identification. To realize device identification in real-time, not only to optimize every step but to optimize how to cooperate with each other. Additionally, it is required to introduce new processes such as anomaly detection should be deployed and conducted in parallel. In this paper, we aim real-time device identification in real-time, and propose a design of configurable architecture to realize faster processing of identification. We also deploy our implemented architecture in our campus network to validate a feasibility. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Traffic classification / Data-flow analysis / Real-time systems / Network monitoring / Network traffic / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 171, IN2021-14, pp. 13-18, Sept. 2021. |
| Paper # |
IN2021-14 |
| Date of Issue |
2021-09-02 (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 |
IN2021-14 |
| Conference Information |
| Committee |
IN NS CS NV |
| Conference Date |
2021-09-09 - 2021-09-10 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. |
| Paper Information |
| Registration To |
IN |
| Conference Code |
2021-09-IN-NS-CS-NV |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
{Architecture for Configurable Real-time Device Identification in Campus Core Networks |
| Sub Title (in English) |
|
| Keyword(1) |
Traffic classification |
| Keyword(2) |
Data-flow analysis |
| Keyword(3) |
Real-time systems |
| Keyword(4) |
Network monitoring |
| Keyword(5) |
Network traffic |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Kohei Hayashi |
| 1st Author's Affiliation |
Osaka City University (Osaka City Univ.) |
| 2nd Author's Name |
Kota Tuchie |
| 2nd Author's Affiliation |
Oki Electric Industry Co., Ltd. (OKI) |
| 3rd Author's Name |
Nobuyuki Nakamura |
| 3rd Author's Affiliation |
Oki Electric Industry Co., Ltd. (OKI) |
| 4th Author's Name |
Taketsugu Yao |
| 4th Author's Affiliation |
Oki Electric Industry Co., Ltd. (OKI) |
| 5th Author's Name |
Shingo Ata |
| 5th Author's Affiliation |
Osaka City University (Osaka City Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2021-09-09 13:30:00 |
| Presentation Time |
25 minutes |
| Registration for |
IN |
| Paper # |
IN2021-14 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.171 |
| Page |
pp.13-18 |
| #Pages |
6 |
| Date of Issue |
2021-09-02 (IN) |