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Eastern Washington University

Password-less two-factor authentication using scannable barcodes on a mobile device

Abstract

dc:description.abstract

<p>Currently, passwords are the default method used to authenticate users. As hardware continues to advance in speed, breaking these passwords becomes easier. The traditional solution to this problem is ever increasing password complexity and two-factor authentication. However, users become strained under overly complex login systems and often circumvent them. Two-factor authentication also adds to this complexity and many forms of two-factor authentication are inherently insecure. In answer to these problems, this project proposes a password-less multi-factor authentication system, which leverages the tried-and-proven existing technologies, asymmetric cryptography, digital signatures, and biometric authentication. Simulated user testing shows promising results, suggesting that registration can be completed in just over thirty seconds, and authentication in just over two seconds. An analysis of this project’s possible attack vectors, preventative steps taken, and their solutions in potential future research are also discussed.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS) in Computer Science
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science and Electrical Engineering
Year
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Callant II, Grant M

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Access is available to all users

Identifiers

dc:identifier.*
Repository record dc:identifier
https://dc.ewu.edu/theses/668
OAI identifier oai:identifier
oai:dc.ewu.edu:theses-1671

Chain of custody

source
Harvested from
Eastern Washington University
Base URL
dc.ewu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Callant II, Grant M. Password-less two-factor authentication using scannable barcodes on a mobile device. Thesis thesis, 2021. https://dc.ewu.edu/theses/668