PrintListener: Uncovering the Vulnerability of Fingerprint Authentication via the Finger Friction Sound

• URL: http://arxiv.org/abs/2404.09214v1
• Date: Sun, 14 Apr 2024 10:55:15 GMT
• Title: PrintListener: Uncovering the Vulnerability of Fingerprint Authentication via the Finger Friction Sound
• Authors: Man Zhou, Shuao Su, Qian Wang, Qi Li, Yuting Zhou, Xiaojing Ma, Zhengxiong Li,
• Abstract summary: We propose a new side-channel attack on the minutiae-based Automatic Fingerprint Identification System (AFIS) The attack scenario of PrintListener is extensive and covert. It only needs to record users' fingertip friction sound and can be launched by leveraging a large number of social media platforms.
• Score: 23.149939556959772
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: Fingerprint authentication has been extensively employed in contemporary identity verification systems owing to its rapidity and cost-effectiveness. Due to its widespread use, fingerprint leakage may cause sensitive information theft, enormous economic and personnel losses, and even a potential compromise of national security. As a fingerprint that can coincidentally match a specific proportion of the overall fingerprint population, MasterPrint rings the alarm bells for the security of fingerprint authentication. In this paper, we propose a new side-channel attack on the minutiae-based Automatic Fingerprint Identification System (AFIS), called PrintListener, which leverages users' fingertip swiping actions on the screen to extract fingerprint pattern features (the first-level features) and synthesizes a stronger targeted PatternMasterPrint with potential second-level features. The attack scenario of PrintListener is extensive and covert. It only needs to record users' fingertip friction sound and can be launched by leveraging a large number of social media platforms. Extensive experimental results in realworld scenarios show that Printlistener can significantly improve the attack potency of MasterPrint.

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