Cargando…
A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications
As smart devices have become commonly used to access internet banking applications, these devices constitute appealing targets for fraudsters. Impersonation attacks are an essential concern for internet banking providers. Therefore, user authentication countermeasures based on biometrics, whether ph...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234896/ https://www.ncbi.nlm.nih.gov/pubmed/34205344 http://dx.doi.org/10.3390/s21124212 |
_version_ | 1783714189634699264 |
---|---|
author | Estrela, Priscila Morais Argôlo Bonfim Albuquerque, Robson de Oliveira Amaral, Dino Macedo Giozza, William Ferreira Júnior, Rafael Timóteo de Sousa |
author_facet | Estrela, Priscila Morais Argôlo Bonfim Albuquerque, Robson de Oliveira Amaral, Dino Macedo Giozza, William Ferreira Júnior, Rafael Timóteo de Sousa |
author_sort | Estrela, Priscila Morais Argôlo Bonfim |
collection | PubMed |
description | As smart devices have become commonly used to access internet banking applications, these devices constitute appealing targets for fraudsters. Impersonation attacks are an essential concern for internet banking providers. Therefore, user authentication countermeasures based on biometrics, whether physiological or behavioral, have been developed, including those based on touch dynamics biometrics. These measures take into account the unique behavior of a person when interacting with touchscreen devices, thus hindering identitification fraud because it is hard to impersonate natural user behaviors. Behavioral biometric measures also balance security and usability because they are important for human interfaces, thus requiring a measurement process that may be transparent to the user. This paper proposes an improvement to Biotouch, a supervised Machine Learning-based framework for continuous user authentication. The contributions of the proposal comprise the utilization of multiple scopes to create more resilient reasoning models and their respective datasets for the improved Biotouch framework. Another contribution highlighted is the testing of these models to evaluate the imposter False Acceptance Error (FAR). This proposal also improves the flow of data and computation within the improved framework. An evaluation of the multiple scope model proposed provides results between 90.68% and 97.05% for the harmonic mean between recall and precision (F1 Score). The percentages of unduly authenticated imposters and errors of legitimate user rejection (Equal Error Rate (EER)) are between 9.85% and 1.88% for static verification, login, user dynamics, and post-login. These results indicate the feasibility of the continuous multiple-scope authentication framework proposed as an effective layer of security for banking applications, eventually operating jointly with conventional measures such as password-based authentication. |
format | Online Article Text |
id | pubmed-8234896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82348962021-06-27 A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications Estrela, Priscila Morais Argôlo Bonfim Albuquerque, Robson de Oliveira Amaral, Dino Macedo Giozza, William Ferreira Júnior, Rafael Timóteo de Sousa Sensors (Basel) Article As smart devices have become commonly used to access internet banking applications, these devices constitute appealing targets for fraudsters. Impersonation attacks are an essential concern for internet banking providers. Therefore, user authentication countermeasures based on biometrics, whether physiological or behavioral, have been developed, including those based on touch dynamics biometrics. These measures take into account the unique behavior of a person when interacting with touchscreen devices, thus hindering identitification fraud because it is hard to impersonate natural user behaviors. Behavioral biometric measures also balance security and usability because they are important for human interfaces, thus requiring a measurement process that may be transparent to the user. This paper proposes an improvement to Biotouch, a supervised Machine Learning-based framework for continuous user authentication. The contributions of the proposal comprise the utilization of multiple scopes to create more resilient reasoning models and their respective datasets for the improved Biotouch framework. Another contribution highlighted is the testing of these models to evaluate the imposter False Acceptance Error (FAR). This proposal also improves the flow of data and computation within the improved framework. An evaluation of the multiple scope model proposed provides results between 90.68% and 97.05% for the harmonic mean between recall and precision (F1 Score). The percentages of unduly authenticated imposters and errors of legitimate user rejection (Equal Error Rate (EER)) are between 9.85% and 1.88% for static verification, login, user dynamics, and post-login. These results indicate the feasibility of the continuous multiple-scope authentication framework proposed as an effective layer of security for banking applications, eventually operating jointly with conventional measures such as password-based authentication. MDPI 2021-06-19 /pmc/articles/PMC8234896/ /pubmed/34205344 http://dx.doi.org/10.3390/s21124212 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Estrela, Priscila Morais Argôlo Bonfim Albuquerque, Robson de Oliveira Amaral, Dino Macedo Giozza, William Ferreira Júnior, Rafael Timóteo de Sousa A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications |
title | A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications |
title_full | A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications |
title_fullStr | A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications |
title_full_unstemmed | A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications |
title_short | A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications |
title_sort | framework for continuous authentication based on touch dynamics biometrics for mobile banking applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234896/ https://www.ncbi.nlm.nih.gov/pubmed/34205344 http://dx.doi.org/10.3390/s21124212 |
work_keys_str_mv | AT estrelapriscilamoraisargolobonfim aframeworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT albuquerquerobsondeoliveira aframeworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT amaraldinomacedo aframeworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT giozzawilliamferreira aframeworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT juniorrafaeltimoteodesousa aframeworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT estrelapriscilamoraisargolobonfim frameworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT albuquerquerobsondeoliveira frameworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT amaraldinomacedo frameworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT giozzawilliamferreira frameworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications AT juniorrafaeltimoteodesousa frameworkforcontinuousauthenticationbasedontouchdynamicsbiometricsformobilebankingapplications |