CRCVJun 12, 2017

Portable Trust: biometric-based authentication and blockchain storage for self-sovereign identity systems

arXiv:1706.03744v123 citationsHas Code
Originality Incremental advance
AI Analysis

This work provides a portable authentication solution for self-sovereign identity systems, particularly useful in offline or remote regions, though it is incremental as it builds on existing biometric and blockchain technologies.

The authors tackled the problem of biometric authentication without cloud services by developing a mobile system that uses a smartphone camera to capture and match fingerprints locally, achieving a mean matching accuracy of 55% with up to 67% for thumb fingers.

We devised a mobile biometric-based authentication system only relying on local processing. Our Android open source solution explores the capability of current smartphones to acquire, process and match fingerprints using only its built-in hardware. Our architecture is specifically designed to run completely locally and autonomously, not requiring any cloud service, server, or permissioned access to fingerprint reader hardware. It involves three main stages, starting with the fingerprint acquisition using the smartphone camera, followed by a processing pipeline to obtain minutiae features and a final step for matching against other locally stored fingerprints, based on Oriented FAST and Rotated BRIEF (ORB) descriptors. We obtained a mean matching accuracy of 55%, with the highest value of 67% for thumb fingers. Our ability to capture and process a finger fingerprint in mere seconds using a smartphone makes this work usable in a wide range of scenarios, for instance, offline remote regions. This work is specifically designed to be a key building block for a self-sovereign identity solution and integrate with our permissionless blockchain for identity and key attestation.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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