Fuzzy Authentication using Rank Distance
Alessandro Neri, Joachim Rosenthal, Davide Schipani

TL;DR
This paper explores fuzzy authentication methods utilizing the rank metric, presenting new models and algorithms for secure fuzzy matching applicable in various scenarios.
Contribution
It introduces novel fuzzy authentication schemes based on the rank metric, expanding the options beyond traditional Hamming and set difference metrics.
Findings
Proposes multiple schemes for rank-based fuzzy authentication
Demonstrates applicability in diverse security scenarios
Enhances understanding of rank metric in authentication contexts
Abstract
Fuzzy authentication allows authentication based on the fuzzy matching of two objects, for example based on the similarity of two strings in the Hamming metric, or on the similiarity of two sets in the set difference metric. Aim of this paper is to show other models and algorithms of secure fuzzy authentication, which can be performed using the rank metric. A few schemes are presented which can then be applied in different scenarios and applications.
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Taxonomy
TopicsUser Authentication and Security Systems · Biometric Identification and Security · Chaos-based Image/Signal Encryption
