Keywords: multi-factor authentication, web application, two-factor authentication, classification, indicators of authentication procedures, efficiency assessment
Indicator framework for evaluating the performance of multi-factor authentication procedures in Web applications
UDC 004.056.53
DOI: 10.26102/2310-6018/2023.42.3.015
The relevance of the study is due to the increasing use of multi-factor authentication mechanisms in Web applications, the popularization of Web technologies as well as the lack of specific standards in the Russian Federation describing the operation of multi-factor authentication procedures and establishing requirements for Web applications that use these procedures. The purpose of the research is to develop an indicator framework for assessing the performance of multi-factor authentication procedure information security in Web applications based on the previously developed classification of the procedures under consideration. An analysis of scientific publications on the issue under study was carried out; linguistic scales for indicators were proposed: costs, reliability, safety, efficiency as well as factors affecting the indicators. Acceptable indicator values were identified, which will be clarified using the method of expert assessments in subsequent publications on this issue. As part of the study, methods for calculating the values of cost, reliability, safety, and efficiency indicators were proposed. The findings of the study can later be specified in compliance with the list of the objectives aimed at ensuring the information security of multi-factor authentication procedures. The materials of the research are of theoretical value for further research in this field.
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Keywords: multi-factor authentication, web application, two-factor authentication, classification, indicators of authentication procedures, efficiency assessment
For citation: Bogdanov D.S. Indicator framework for evaluating the performance of multi-factor authentication procedures in Web applications. Modeling, Optimization and Information Technology. 2023;11(3). URL: https://moitvivt.ru/ru/journal/pdf?id=1426 DOI: 10.26102/2310-6018/2023.42.3.015 (In Russ).
Received 14.07.2023
Revised 11.08.2023
Accepted 07.09.2023
Published 30.09.2023