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http://dx.doi.org/10.13089/JKIISC.2017.27.2.233

Fingerprint Smudge Attacks Based on Fingerprint Image Reconstruction on Smart Devices  

Lee, Hoyeon (Information Security Lab, Graduate School of Information, Yonsei University)
Kwon, Taekyoung (Information Security Lab, Graduate School of Information, Yonsei University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.27, no.2, 2017 , pp. 233-240 More about this Journal
Abstract
Fingerprint authentication identifies individuals based on user specific information. It is widely used as it is convenient, secure and has no risk of leakage, loss, or forgotten. However, the latent fingerprints remaining on the smart device's surface are vulnerable to smudge attacks. We analyze the usage patterns of individuals using smart device and propose methods to reconstruct damaged fingerprint images using fingerprint smudges. We examine the feasibility of smudge attacks with frequent usage situations by reconstructing fingerprint smudges collected from touch screens. Finally, we empirically verify the vulnerability of fingerprint authentication systems by showing high attack rates.
Keywords
Smart Device; Fingerprint Authentication; Fingerprint Reconstruction; Smudge Attacks;
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