File:Attack overview of BrutePrint.png

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From the preprint "BrutePrint: Expose Smartphone Fingerprint Authentication to Brute-force Attack"

Summary

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Description
English: "We implement BRUTEPRINT system to crack SFA and achieve fingerprint brute-force attack. As shown in Figure 2, there are two kinds of brute-force attackers who exploit CAMF and MAL vulnerabilities. Specifically, BRUTEPRINT acts as a middleman between fingerprint sensor and TEE. Two attacks are firstly implemented to reach ultimate fingerprint brute-force attack. Attempt limit bypassing attack exploits either of the two vulnerabilities to meet R1. Typically, a CAMF exploitation invalidates the checksum of transmitted fingerprint data, and a MAL exploitation infers matching results through side-channel attacks. Fingerprint image hijacking attack meets R2, which has the capability to decode the intercepted fingerprint data and encode replaced data for injection. To increase the success rate of brute-forcing, BRUTEPRINT additionally propose a fingerprint dictionary generation method that trains a neural style transfer network to transfer available fingerprint database into valid styles."
Date
Source https://arxiv.org/abs/2305.10791
Author Authors of the study: Yu Chen, Yiling He

Licensing

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current17:54, 3 July 2023Thumbnail for version as of 17:54, 3 July 20231,309 × 544 (129 KB)Prototyperspective (talk | contribs)Uploaded a work by Authors of the study: Yu Chen, Yiling He from https://arxiv.org/abs/2305.10791 with UploadWizard

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