Method for predicting the identity of a user associated to an anonymous browsing session on an online service

The present description relates to a method for predicting the identity of a user associated to an anonymous browsing session on an online service, comprising the steps of: providing a traffic inspector in signal communication with at least one client device for internet browsing and with a web server having an online service residing therein; providing a traffic analyzer in signal communication with the traffic inspector; identifying each browsing session of the client device on the online service; analyzing the traffic exchanged between the client device and the web server to extract and identify at least one username when a user performs authentication to the online service; collecting first characteristic data concerning unique and/or non-unique technical parameters and associating them with a respective identified username; storing the first characteristic data associated with each identified username in a database; identifying each anonymous browsing session of the client device on the online service; collecting second characteristic data concerning unique and/or non-unique technical parameters and associating them with the anonymous browsing session; comparing, by means of a user prediction algorithm the first characteristic data concerning each identified username with the second characteristic data concerning the anonymous session to associate an identified username with the anonymous browsing session in case of similarity or substantial coincidence between the first characteristic data and the second characteristic data so compared.