|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.
|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 10] [SCOPUS Times Cited 18]
 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 3]
 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 36] [SCOPUS Times Cited 38]
 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 111] [SCOPUS Times Cited 145]
 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 22] [SCOPUS Times Cited 28]
 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 119]
 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 67] [SCOPUS Times Cited 88]
 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 236] [SCOPUS Times Cited 276]
 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 111] [SCOPUS Times Cited 125]
 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 91] [SCOPUS Times Cited 114]
 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 43]
 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 49] [SCOPUS Times Cited 50]
 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 164]
 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 290]
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