ANALYSIS OF INTERNET USER IDENTIFICATION METHODS

E. . Bessonova, I. A. Zikratov, V. Roskov


Read the full article  ';

Abstract

The article deals with mechanisms for user identification in the Internet. A comparative analysis of two ways for user identification based on entropy and regression analysis is proposed. A computational experiment was conducted for results verification.


Keywords: identification, self-descriptiveness, feature, tuple, user

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2024 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика