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| Presentation | 2018-07-12 10:55 [Poster Presentation] A Examination of GPS Spoofing Defense with Machine-learning Tomokazu Fukuda, Koji Ishii (Kagawa Univ.)  RCC2018-42 NS2018-55 RCS2018-100 SR2018-39 ASN2018-36 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Position information and time information by GNSS (Global Navigation Satellite System) represented by GPS are positively used. The accuracy of the information provided by GNSS is a very important factor for future ICT system such as autonomous driving car, 5G wireless system etc. Meanwhile, due to the progress of software defined radio, anyone can easily make a fake GPS signal called as it spoofing signal, which should be treated as an urgent issue. To deal with such an issue, this work proposes a countermeasure technique for spoofing signals based on machine learning. Different from the conventional approaches, our proposed system tries to make full use of current GPS receiver system, that is, does not need the modification of current devices. At a preliminary, this paper customizes a decision tree to the GPS location estimation and evaluates its impacts. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | GPS / Spoofing / Machine-Learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 123, RCC2018-42, pp. 89-94, July 2018. | |
| Paper # | RCC2018-42 | |
| Date of Issue | 2018-07-04 (RCC, NS, RCS, SR, ASN) | |
| ISSN | Print edition: ISSN 0913-5685 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 | RCC2018-42 NS2018-55 RCS2018-100 SR2018-39 ASN2018-36 |
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| Conference Information | |
| Committee | ASN NS RCS SR RCC |
| Conference Date | 2018-07-11 - 2018-07-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hakodate Arena |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT（Internet of Things）, etc. |
| Paper Information | |
| Registration To | RCC |
| Conference Code | 2018-07-ASN-NS-RCS-SR-RCC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Examination of GPS Spoofing Defense with Machine-learning |
| Sub Title (in English) | |
| Keyword(1) | GPS |
| Keyword(2) | Spoofing |
| Keyword(3) | Machine-Learning |
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| 1st Author's Name | Tomokazu Fukuda |
| 1st Author's Affiliation | Kagawa University (Kagawa Univ.) |
| 2nd Author's Name | Koji Ishii |
| 2nd Author's Affiliation | Kagawa University (Kagawa Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-07-12 10:55:00 |
| Presentation Time | 80 minutes |
| Registration for | RCC |
| Paper # | RCC2018-42, NS2018-55, RCS2018-100, SR2018-39, ASN2018-36 |
| Volume (vol) | vol.118 |
| Number (no) | no.123(RCC), no.124(NS), no.125(RCS), no.126(SR), no.127(ASN) |
| Page | pp.89-94(RCC), pp.95-100(NS), pp.107-112(RCS), pp.99-104(SR), pp.105-110(ASN) |
| #Pages | 6 |
| Date of Issue | 2018-07-04 (RCC, NS, RCS, SR, ASN) |
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