Presentation 2018-07-12
[Poster Presentation] A Examination of GPS Spoofing Defense with Machine-learning
Tomokazu Fukuda, Koji Ishii,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) GPS / Spoofing / Machine-Learning
Paper # RCC2018-42,NS2018-55,RCS2018-100,SR2018-39,ASN2018-36
Date of Issue 2018-07-04 (RCC, NS, RCS, SR, ASN)

Conference Information
Committee ASN / NS / RCS / SR / RCC
Conference Date 2018/7/11(3days)
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.
Chair Hiraku Okada(Nagoya Univ.) / Yoshikatsu Okazaki(NTT) / Tomoaki Otsuki(Keio Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Kazunori Hayashi(Osaka City Univ.)
Vice Chair Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) / Akihiro Nakao(Univ. of Tokyo) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) / Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT)
Secretary Koji Yamamoto(NICT) / Jin Nakazawa(Sophia Univ.) / Kazuya Monden(Kanagawa Inst. of Tech.) / Akihiro Nakao(NTT) / Eisuke Fukuda(Osaka Pref Univ.) / Satoshi Suyama(Hokkaido Univ.) / Fumiaki Maehara(NTT) / Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR) / Shunichi Azuma(Univ. of Electro-Comm.) / HUAN-BANG LI(Kagawa Univ.)
Assistant Masafumi Hashimoto(Osaka Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) / Kenichi Kashibuchi(NTT) / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Toshinori Kagawa(NICT) / Masateru Ogura(NAIST)

Paper Information
Registration To Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Network Systems / Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Reliable Communication and Control
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] A Examination of GPS Spoofing Defense with Machine-learning
Sub Title (in English)
Keyword(1) GPS
Keyword(2) Spoofing
Keyword(3) Machine-Learning
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.)
Date 2018-07-12
Paper # RCC2018-42,NS2018-55,RCS2018-100,SR2018-39,ASN2018-36
Volume (vol) vol.118
Number (no) RCC-123,NS-124,RCS-125,SR-126,ASN-127
Page pp.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)