An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme

One popular scheme used for authentication security is the implementation of multi-factor authentication (MFA). There have been several researches that discusses on multi-factor authentication scheme but most of these research do not entirely protect data against all types of attacks. Furthermore,...

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Main Authors: Mohd Ariffin, Noor Afiza, Mohd Rum, Siti Nurulain, Abdul Rahim, Fiza
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering & Sciences Publication 2019
Online Access:http://psasir.upm.edu.my/id/eprint/80575/1/SECURITY.pdf
http://psasir.upm.edu.my/id/eprint/80575/
https://www.ijeat.org/wp-content/uploads/papers/v9i1/A2629109119.pdf
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spelling my.upm.eprints.805752021-01-26T20:33:09Z http://psasir.upm.edu.my/id/eprint/80575/ An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme Mohd Ariffin, Noor Afiza Mohd Rum, Siti Nurulain Abdul Rahim, Fiza One popular scheme used for authentication security is the implementation of multi-factor authentication (MFA). There have been several researches that discusses on multi-factor authentication scheme but most of these research do not entirely protect data against all types of attacks. Furthermore, most current research only focuses on improving the security part of authentication while neglecting other important parts such as the systems accuracy. Accuracy is based on how perfect is the system able to identify a genuine user or an intruder. Current multifactor authentication schemes were simply not designed to have security and accuracy as their focus. Accuracy can be measured as the success rate on tasks that requires a certain degree. For instance, the number of users who is successfully logging into the system using any technique provides a measure of accuracy. Usually, accuracy demands of users are impacted by other demands such as recall of required information, environmental, or other factors. In authentication, the accuracy factor was identified through the device pairing studies. In many cases in the authentication system requires users to enter a password or biometric traits with 100 percent accuracy for comparing it. Nevertheless, this research analyzes the level of accuracy based on the biometric accuracy of authentication. In this paper will explain the evaluation process on the accuracy level of the proposed authentication to get a highly accurate performance, which is based on FAR (false acceptance rate) and FRR (false rejection rate). Result from the experiment shows that the accuracy of proposed scheme is better than the accuracy of other previous schemes. This is even after additional security features has been added to the scheme. Blue Eyes Intelligence Engineering & Sciences Publication 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/80575/1/SECURITY.pdf Mohd Ariffin, Noor Afiza and Mohd Rum, Siti Nurulain and Abdul Rahim, Fiza (2019) An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme. International Journal of Engineering & Advanced Technology (IJEAT), 9 (1). pp. 1649-1654. ISSN 2249-8958 https://www.ijeat.org/wp-content/uploads/papers/v9i1/A2629109119.pdf 10.35940/ijeat.A2629.109119
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description One popular scheme used for authentication security is the implementation of multi-factor authentication (MFA). There have been several researches that discusses on multi-factor authentication scheme but most of these research do not entirely protect data against all types of attacks. Furthermore, most current research only focuses on improving the security part of authentication while neglecting other important parts such as the systems accuracy. Accuracy is based on how perfect is the system able to identify a genuine user or an intruder. Current multifactor authentication schemes were simply not designed to have security and accuracy as their focus. Accuracy can be measured as the success rate on tasks that requires a certain degree. For instance, the number of users who is successfully logging into the system using any technique provides a measure of accuracy. Usually, accuracy demands of users are impacted by other demands such as recall of required information, environmental, or other factors. In authentication, the accuracy factor was identified through the device pairing studies. In many cases in the authentication system requires users to enter a password or biometric traits with 100 percent accuracy for comparing it. Nevertheless, this research analyzes the level of accuracy based on the biometric accuracy of authentication. In this paper will explain the evaluation process on the accuracy level of the proposed authentication to get a highly accurate performance, which is based on FAR (false acceptance rate) and FRR (false rejection rate). Result from the experiment shows that the accuracy of proposed scheme is better than the accuracy of other previous schemes. This is even after additional security features has been added to the scheme.
format Article
author Mohd Ariffin, Noor Afiza
Mohd Rum, Siti Nurulain
Abdul Rahim, Fiza
spellingShingle Mohd Ariffin, Noor Afiza
Mohd Rum, Siti Nurulain
Abdul Rahim, Fiza
An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme
author_facet Mohd Ariffin, Noor Afiza
Mohd Rum, Siti Nurulain
Abdul Rahim, Fiza
author_sort Mohd Ariffin, Noor Afiza
title An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme
title_short An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme
title_full An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme
title_fullStr An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme
title_full_unstemmed An accuracy of attack detection using attack recognition technique in multi-factor authentication scheme
title_sort accuracy of attack detection using attack recognition technique in multi-factor authentication scheme
publisher Blue Eyes Intelligence Engineering & Sciences Publication
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/80575/1/SECURITY.pdf
http://psasir.upm.edu.my/id/eprint/80575/
https://www.ijeat.org/wp-content/uploads/papers/v9i1/A2629109119.pdf
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score 13.209306