ANALYSIS OF INTERNET USER IDENTIFICATION METHODS

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


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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
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