Tap-tap and pay (TTP): Preventing the mafia attack in NFC payment

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Abstract

Mobile NFC payment is an emerging industry, estimated to reach $670 billion by 2015. The Mafia attack presents a realistic threat to payment systems including mobile NFC payment. In this attack, a user consciously initiates an NFC payment against a legitimate-looking NFC reader (controlled by the Mafia), not knowing that the reader actually relays the data to a remote legitimate NFC reader to pay for something more expensive. In this paper, we present “Tap-Tap and Pay” (TTP), to effectively prevent the Mafia attack in mobile NFC payment. In TTP, a user initiates an NFC payment by physically tapping her mobile phone against the reader twice in succession. The physical tapping causes transient vibrations at both devices, which can be measured by the embedded accelerometers. Our experiments indicate that the two measurements are closely correlated if they are from the same tapping, and are different if obtained from different tapping events. By comparing the similarity between the two measurements, we can effectively tell apart the Mafia fraud from a legitimate NFC transaction. To evaluate the practical feasibility of this solution, we present a prototype of the TTP system based on a pair of NFC-enabled mobile phones and also conduct a user study. The results suggest that our solution is reliable, fast, easy-to-use and has good potential for practical deployment.

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Mehrnezhad, M., Hao, F., & Shahandashti, S. F. (2015). Tap-tap and pay (TTP): Preventing the mafia attack in NFC payment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9497, pp. 21–39). Springer Verlag. https://doi.org/10.1007/978-3-319-27152-1_2

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