Location Authentication based on Wireless Access Point Information to Prevent Wormhole Attack in Samsung Pay
- Authors
- Ryu, Gwonsang; Seo, Changho; Choi, Daeseon
- Issue Date
- Aug-2017
- Publisher
- UNIV SUCEAVA, FAC ELECTRICAL ENG
- Keywords
- artificial neural networks; authentication; authorization; learning (artificial intelligence); wireless networks
- Citation
- ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, v.17, no.3, pp.71 - 76
- Journal Title
- ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
- Volume
- 17
- Number
- 3
- Start Page
- 71
- End Page
- 76
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/39726
- DOI
- 10.4316/AECE.2017.03009
- ISSN
- 1582-7445
- Abstract
- 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 prerequisite 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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