USERS DISTINCTION BASED ON THEIR BEHAVIOR IN THE INTERNET
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The paper deals with users’ identification and authentication in the web-space. A method for distinguishing of two or more users accessing the Internet by one common computer and browser based on the analysis of their surfing history is proposed. The method is based on sites identification, which the user visits frequently and regularly, and their hierarchical clustering. Analysis of surfing history for more than 260 000 users, collected by cookies, which are stored on their computers, was conducted for method verification. High percentage of correct users’ identification was achieved.