Tap, Pay, and Worry: Users' Perceptions of Contactless Payment Attacks Versus Technical Feasibility

Contactless payment is one of the most popular payment methods, accessible through contactless cards, mobile phones, and wearable devices. However, there are several vulnerabilities associated with this payment method, leading to various attacks. While the technical aspects of these attacks have been extensively studied in the literature, the user perspective remains relatively under-explored. In this paper, we study users' perceptions about contactless payment attacks and vulnerabilities. We assess the technical feasibility of the existing attacks on contactless payment systems, and present a user survey involving 150 participants from the UK, examining their perceptions of contactless payment systems and attacks. We compare users' perceptions with our evaluation of the technical feasibility of contactless payment attacks and find that while users accurately interpret some attacks, they tend to overestimate certain attacks while underestimating others. Additionally, we find that despite available protective measures, users typically take only basic precautions. This highlights a gap between user perceptions and the technical feasibility of contactless payment attacks. We recommend improving contactless payment security and providing targeted user education.

Authors

Institutions

Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/eurospw67616.2025.00047
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tap, Pay, and Worry: Users' Perceptions of Contactless Payment Attacks Versus Technical Feasibility

Maryam Mehrnezhad, Feng Hao, Timur Yunusov
Privacy, Security, and Data Protection
article

Tap, Pay, and Worry: Users' Perceptions of Contactless Payment Attacks Versus Technical Feasibility

Maryam Mehrnezhad, Feng Hao, Timur Yunusov
article en

Abstract

Contactless payment is one of the most popular payment methods, accessible through contactless cards, mobile phones, and wearable devices. However, there are several vulnerabilities associated with this payment method, leading to various attacks. While the technical aspects of these attacks have been extensively studied in the literature, the user perspective remains relatively under-explored. In this paper, we study users' perceptions about contactless payment attacks and vulnerabilities. We assess the technical feasibility of the existing attacks on contactless payment systems, and present a user survey involving 150 participants from the UK, examining their perceptions of contactless payment systems and attacks. We compare users' perceptions with our evaluation of the technical feasibility of contactless payment attacks and find that while users accurately interpret some attacks, they tend to overestimate certain attacks while underestimating others. Additionally, we find that despite available protective measures, users typically take only basic precautions. This highlights a gap between user perceptions and the technical feasibility of contactless payment attacks. We recommend improving contactless payment security and providing targeted user education.

Royal Holloway University of London (GB), University of Warwick (GB), Children’s Village (US)
Openalex Percentile: Top 69%
Privacy, Security, and Data Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tap, Pay, and Worry: Users' Perceptions of Contactless Payment Attacks Versus Technical Feasibility — Maryam Mehrnezhad, Feng Hao, et al. · (2025) | TGRS Research Map | TGRS