|3/2017 - 9|
Location Authentication based on Wireless Access Point Information to Prevent Wormhole Attack in Samsung PayRYU, G. , SEO, C. , CHOI, D.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (2,666 KB) | Citation | Downloads: 144 | Views: 339|
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.
|References|||||Cited By «-- Click to see who has cited this paper|
| Security Technology Research Team, "Analysis on Samsung Pay service and its security features," Federal Security Agency, Korea, 2015.
 Apple Pay, "Apple Pay: Your wallet without the wallet," Retrieved August 22, 2015.
 D. Choi and Y. Lee, "Eavesdropping One-Time Tokens Over Magnetic Secure Transmission in Samsung Pay," 10th USENIX Workshop on Offensive Technologies (WOOT 16), 2016.
 P. Vincent, H. Larochelle, Y. Bengio, and P. A. Mangzagol, "Extracting and composing robust features with denoising autoencoders," in Proc. the 25th international conference on Machine learning, ACM, Jul. 2008, pp. 1096-1103.
 Y. Sheng, K. Tan, G. Chen, D. Kotz, and A. Campbell, "Detecting 802.11 MAC layer spoofing using received signal strength," in INFOCOM 2008. The 27th Conference on Computer Communications, Apr. 2008, pp. 2441-2449.
 H. Takamizawa and N. Tanaka, "Authentication system using location information on iPad or smartphone," International Journal of Computer Theory and Engineering, vol. 4, no. 2, pp. 153-157, 2012.
 D. Kim, S. Kim, D. Choi, and S. Jin, "Accurate Indoor Proximity Zone Detection Based on Time Window and Frequency with Bluetooth Low Energy," Procedia Computer Science, vol. 56, pp. 88-95, 2015.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 5]
 M. H. Chen and C. H. Chen, "Secondary user authentication based on mobile devices location," 2010 IEEE Fifth International Conference on Networking, Architecture and Storage (NAS), Jul. 2010, pp. 277-281.
[CrossRef] [SCOPUS Times Cited 2]
 T. N. Lin, S. H. Fang, W. H. Tseng, C. W. Lee, and J. W. Hsieh, "A group-discrimination-based access point selection for WLAN fingerprinting localization," IEEE Transactions on Vehicular Technology, vol. 63. no. 8, pp. 3967-3976, Oct. 2014.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 22]
 K. Kaemarungsi and P. Krishnamurthy, "Analysis of WLAN's received signal strength indication for indoor location fingerprinting," Pervasive and Mobile Computing, vol. 8, no. 2, pp. 292-316, 2012.
[CrossRef] [Web of Science Times Cited 76] [SCOPUS Times Cited 102]
 N. Alsindi, Z. Chaloupka, N. AlKhanbashi, and J. Aweya, "An empirical evaluation of a probabilistic RF signature for WLAN location fingerprinting," IEEE Transactions on Wireless Communications, vol. 13, no. 6, pp. 3257-3268, Jun. 2014.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 18]
 Y. Jiang, X. Pan, K. Li, Q. Lv, R. P. Dick, M. Hannigan, and L. Shang, "Ariel: Automatic Wi-Fi based room fingerprinting for indoor localization," in Proc. the 2012 ACM Conference on Ubiquitous Computing, 2012, pp. 441-450.
[CrossRef] [SCOPUS Times Cited 73]
 N. Chang, R. Rashidzadeh, and M. Ahmadi, "Robust indoor positioning using differential Wi-Fi access points," IEEE Transactions on Consumer Electronics, vol. 53, no. 3, pp. 1860-1867, 2010.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 74]
 C. Wu, Z. Tang, Y. Liu, and W. Xi, "WILL: Wireless indoor localization without site survey," IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 4, pp. 839-848, 2012.
[CrossRef] [Web of Science Times Cited 128] [SCOPUS Times Cited 162]
 P. Yang, W. Wu, M. Moniri, and C. C. Chibelushi, "Efficient object localization using sparsely distributed passive RFID tags," IEEE Transactions on Industrial Electronics, vol. 60, no. 12, pp. 5914-5924, Dec. 2013.
[CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 87]
 E. DiGiampaolo and F. Martinelli, "Mobile robot localization using the phase of passive UHF RFID signals," IEEE Transactions on Industrial Electronics, vol. 61, no. 1, pp. 365-376, Jan.2014.
[CrossRef] [Web of Science Times Cited 66] [SCOPUS Times Cited 71]
 F. Seco, C. Plagemann, A. R. Jimenez, and W. Burgard, "Improving RFID-based indoor positioning accuracy using Gaussian processes," 2010 International Conference on Indoor Positioning and Indoor Navigation, Sept. 2010, pp. 1-8.
[CrossRef] [SCOPUS Times Cited 36]
 R. Faragher and R. Harle, "An analysis of the accuracy of Bluetooth low energy for indoor positioning applications," in Proc. the 27th International Technical Meeting of the Satellite Division of the Institute of Navigation, Tampa, FL, USA, Sep. 2014, pp. 201-210
 V. Moghtadaiee and A. G. Dempstera, "Indoor location fingerprinting using FM radio signals," IEEE Transactions on Broadcasting, vol. 60, no. 2, pp. 336-346, Jun. 2014.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 34]
 S. P. Tarzia, P. A. Dinda, R. P. Dick, and G. Memik, "Indoor localization without infrastructure using the acoustic background spectrum," in Proc. the 9th International Conference on Mobile Systems, Applications, and Services, New York, NY, USA: ACM, 2011, pp.155-168.
[CrossRef] [SCOPUS Times Cited 119]
 J. Chung, M. Donahoe, C. Schmandt, I. Kim, P. Razavai, and M. Wiseman, "Indoor location sensing using geo-magnetism," in Proc. the 9th international conference on Mobile systems, applications, and services, New York, NY, USA: ACM, 2011, pp. 141-154.
[CrossRef] [SCOPUS Times Cited 209]
Web of Science® Citations for all references: 457 TCR
SCOPUS® Citations for all references: 1,014 TCR
Web of Science® Average Citations per reference: 21 ACR
SCOPUS® Average Citations per reference: 46 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2018-06-19 18:01 in 122 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.