Toggle Main Menu Toggle Search

Open Access padlockePrints

Using Ambient Sensors for Proximity and Relay Attack Detection in NFC Transactions: A Reproducibility Study

Lookup NU author(s): Dr Carlton Shepherd

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2013 IEEE. Near-Field Communication (NFC) has enabled mobile devices to emulate contactless smart cards, which has also rendered them susceptible to relay attacks. Numerous countermeasures have been proposed that use ambient sensors as an anti-relay mechanism. However, there are concerns regarding their efficacy in time-critical scenarios, such as transport ticketing and contactless payments. This paper empirically and comprehensively evaluates whether ambient sensors are an effective anti-relay mechanism for such NFC-based contactless transactions. To this end, we examine 17 sensors available via the Android platform. Each sensor, where feasible, was used to record measurements in 1,000 contactless transactions with 252 users across four physical locations. We then conduct an extensive four-part evaluation using similarity metrics, traditional machine learning models, and deep learning methods used in existing work and beyond. We conclude that mobile ambient sensors are currently unsuitable for detecting relay attacks on NFC contactless transactions under realistic timing constraints, contrary to the suggestions and proposals made in existing work.


Publication metadata

Author(s): Markantonakis K, Meister JA, Gurulian I, Shepherd C, Naeem Akram R, Hani Abu Ghazalah S, Kasi M, Sauveron D, Hancke G

Publication type: Article

Publication status: Published

Journal: IEEE Access

Year: 2024

Volume: 12

Pages: 150372-150386

Online publication date: 14/10/2024

Acceptance date: 05/10/2024

Date deposited: 11/11/2024

ISSN (electronic): 2169-3536

Publisher: IEEE

URL: https://doi.org/10.1109/ACCESS.2024.3479729

DOI: 10.1109/ACCESS.2024.3479729


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
Deanship of Research and Graduate Studies at King Khalid University (Small Group Research Grant RGP1/349/45)

Share