Enhanced EMV Security: Preventing Credit Card Fraud From a Distance

The EMV (Europay, Mastercard, and Visa) standard has been found susceptible to relay attacks, impacting the store and financial sectors. The current EMV protocol employs RTT (Round Trip Time) for device distance estimation. However, RTT is susceptible to being affected by the angle at which the credit card is held and cannot prevent attackers from responding to messages prematurely. To prevent distance-based fraud, we propose ambient authentication using artificial noise into the natural environment for device distance detection. We employ implicit certificates for mutual device authentication, preventing attacks before the transaction phase. Ensuring confidentiality, we encrypt all subsequent communication messages after the GET PROCESSING OPTIONS command. Our experimental results indicate that our method outperforms other approaches, providing more comprehensive security. Our protocol is capable of defending against man-in-the-middle, replay, pre-play, downgrade, relay, and other known attacks targeting credit cards. Furthermore, the execution time of the proposed method complies with the EMV protocol.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3570987
Citations
3
Primary Topic
RFID technology advancements
Type
article
Field-Weighted Citation Impact
3.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced EMV Security: Preventing Credit Card Fraud From a Distance

Yu-Shan Hsu, Ming‐Hour Yang, Hsiao‐Ping Hsu
3 citations
IEEE Access
RFID technology advancements
3.41
article

Enhanced EMV Security: Preventing Credit Card Fraud From a Distance

Yu-Shan Hsu, Ming‐Hour Yang, Hsiao‐Ping Hsu
article en
3 citations

Abstract

The EMV (Europay, Mastercard, and Visa) standard has been found susceptible to relay attacks, impacting the store and financial sectors. The current EMV protocol employs RTT (Round Trip Time) for device distance estimation. However, RTT is susceptible to being affected by the angle at which the credit card is held and cannot prevent attackers from responding to messages prematurely. To prevent distance-based fraud, we propose ambient authentication using artificial noise into the natural environment for device distance detection. We employ implicit certificates for mutual device authentication, preventing attacks before the transaction phase. Ensuring confidentiality, we encrypt all subsequent communication messages after the GET PROCESSING OPTIONS command. Our experimental results indicate that our method outperforms other approaches, providing more comprehensive security. Our protocol is capable of defending against man-in-the-middle, replay, pre-play, downgrade, relay, and other known attacks targeting credit cards. Furthermore, the execution time of the proposed method complies with the EMV protocol.

IEEE AccessVol. 13
Chung Yuan Christian University (TW)
National Science and Technology Council
Openalex Percentile: Top 7%
RFID technology advancements
3.41
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.

Enhanced EMV Security: Preventing Credit Card Fraud From a Distance — Yu-Shan Hsu, Ming‐Hour Yang, et al. · IEEE Access (2025) | TGRS Research Map | TGRS