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

Advances in Electrical and Computer Engineering

RYU, G¹ 

关键词: artificial neural networks;    authentication;    authorization;    learning (artificial intelligence);    wireless networks;   

DOI  :  10.4316/AECE.2017.03009

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

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.

【 授权许可】

Unknown