Abstract

This paper presents an overview of the essence of web space which may contain information required to identify and authenticate users on the Internet in order to prevent attempts at malicious acts. Essences with a common content or the same detection method are structured into groups. The greatest attention is paid to one of these groups of entities: «the browser fingerprint» group. An approach and software have been proposed that allow for automated search of the values of entities belonging to this group and for estimating the time of this search for a specific infrastructure in order to develop adaptive authentication mechanisms. Moreover, an analysis of the average time to calculate the values of attributes has been carried out for the most informative browser fingerprints.

Highlights

  • The need to develop scientific and technical solutions in the area of adaptive user authentication is beyond doubt today both among representatives of the scientific community and major developers of information systems

  • The implementation of algorithms in the field of risk-oriented authentication with dynamic configuration of verification factors [1] requires the use of a large number of sources of information that allow you to decide on the legitimacy of the performance of a particular operation by the user

  • This technology implies that any authentication factor has a level of trust, and the choice of an authentication factor depends on the risk level of a particular operation

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Summary

Introduction

The need to develop scientific and technical solutions in the area of adaptive user authentication is beyond doubt today both among representatives of the scientific community and major developers of information systems. It should be noted that this study is part of the authors' development of a dynamic adaptive authentication system This technology implies that any authentication factor has a level of trust, and the choice of an authentication factor depends on the risk level of a particular operation. Such decisions are undoubtedly extremely important and relevant. To this end, it is proposed to analyse the various web essentials associated with their virtual account

Classification of entities and their descriptions
Estimation of the time for calculation of the browser fingerprints
Conclusion
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