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FACTS & FIGURES

JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 78 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  3/2017 - 9

 HIGHLY CITED PAPER 

Location Authentication based on Wireless Access Point Information to Prevent Wormhole Attack in Samsung Pay

RYU, G. See more information about RYU, G. on SCOPUS See more information about RYU, G. on IEEExplore See more information about RYU, G. on Web of Science, SEO, C. See more information about  SEO, C. on SCOPUS See more information about  SEO, C. on SCOPUS See more information about SEO, C. on Web of Science, CHOI, D. See more information about CHOI, D. on SCOPUS See more information about CHOI, D. on SCOPUS See more information about CHOI, D. on Web of Science
 
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Download PDF pdficon (2,666 KB) | Citation | Downloads: 847 | Views: 1,154

Author keywords
artificial neural networks, authentication, authorization, learning (artificial intelligence), wireless networks

References keywords
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

Abstract
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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.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 4 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] 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]

[2] 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]

[3] 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]

Updated 2 days, 15 hours ago

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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