|3/2017 - 9|
Location Authentication based on Wireless Access Point Information to Prevent Wormhole Attack in Samsung PayRYU, G. , SEO, C. , CHOI, D.
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artificial neural networks, authentication, authorization, learning (artificial intelligence), wireless networks
indoor(12), location(6), localization(6), mobile(5), fingerprinting(5), positioning(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2017-08-31
Volume 17, Issue 3, Year 2017, On page(s): 71 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.03009
Web of Science Accession Number: 000410369500009
SCOPUS ID: 85028521720
This paper proposes a location authentication method to prevent wormhole payment attack in Samsung Pay. The primary feature of this method is comparing wireless Access Point (AP) information collected by the current Samsung Pay user and a wireless AP model (WM) that was created from wireless AP information (WI) sent by previous Samsung Pay users. To create the WM, an autoencoder is used. Unlike the existing location authentication techniques that use WI, our method does not require additional hardware, modification of the Point of Sale (POS) software, or any pre-requisite information such as the location coordinates of the POS. We show that the proposed location authentication technique exhibits the minimum Equal Error Rate (EER) of 2.4% in real payment environments.
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 A Survey on Contactless Smart Cards and Payment System, Gupta, Brij B., Narayan, Shaifali, Journal of Global Information Management, ISSN 1062-7375, Issue 4, Volume 28, 2020.
Digital Object Identifier: 10.4018/JGIM.2020100108 [CrossRef]
 Implicit Secondary Authentication for Sustainable SMS Authentication, Ryu, Gwonsang, Kim, Seung-Hyun, Choi, Daeseon, Sustainability, ISSN 2071-1050, Issue 1, Volume 11, 2019.
Digital Object Identifier: 10.3390/su11010279 [CrossRef]
 Unobtrusive Location-based Access Control Utilizing Existing IEEE 802.11 Infrastructure, Alamleh, Hosam, Gourd, Jean, 2020 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW), ISBN 978-1-7281-9398-4, 2020.
Digital Object Identifier: 10.1109/MTTW51045.2020.9245032 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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