Methods for identification of a device user based on a user-related metrics analysis and systems thereof

A network traffic management device, comprising memory comprising programmed instructions stored thereon and one or more processors configured to be capable of executing the stored programmed instructions to:

• retrieve, in response to a received request requiring identification of a client, user profile data associated with a user at the client;
• calculate a user confidence score by:
• (i) obtaining a baseline user profile score for the user at the client based on baseline category scores calculated using prior values associated with metrics in one or more categories obtained from the retrieved user profile data, (ii) calculating a current user profile score for the user at the client based on current category scores calculated using current values associated with the metrics in the one or more categories obtained from the retrieved user profile data, and (iii) generating the user confidence score as a ratio of the current user profile score to the baseline user profile score;
• compare the calculated user confidence score against a stored threshold range comprising minimum and maximum confidence threshold scores, wherein the maximum confidence threshold score identifies when the calculated user confidence score indicates too much of a correlation with the user;
• and
• execute an action with respect to the user at the client in response to the received request based on the comparison of the calculated user confidence score against the stored threshold range.

A non-transitory computer readable medium having stored thereon instructions comprising executable code that, when executed by one or more processors, causes the one or more processors to:

• retrieve, in response to a received request requiring identification of a client, user profile data associated with a user at the client;
• calculate a user confidence score by:
• (i) obtaining a baseline user profile score for the user at the client based on baseline category scores calculated using prior values associated with metrics in one or more categories obtained from the retrieved user profile data, (ii) calculating a current user profile score for the user at the client based on current category scores calculated using current values associated with the metrics in the one or more categories obtained from the retrieved user profile data, and (iii) generating the user confidence score as a ratio of the current user profile score to the baseline user profile score;
• compare the calculated user confidence score against a stored threshold range comprising minimum and maximum confidence threshold scores, wherein the maximum confidence threshold score identifies when the calculated user confidence score indicates too much of a correlation with the user;
• and
• execute an action with respect to the user at the client in response to the received request based on the comparison of the calculated user confidence score against the stored threshold range.

A network traffic management system, comprising one or more server devices, network traffic management devices, or client devices with memory comprising programmed instructions stored thereon and one or more processors configured to be capable of executing the stored programmed instructions to:

• retrieve, in response to a received request requiring identification of a client, user profile data associated with a user at the client;
• calculate a user confidence score by:
• (i) obtaining a baseline user profile score for the user at the client based on baseline category scores calculated using prior values associated with metrics in one or more categories obtained from the retrieved user profile data, (ii) calculating a current user profile score for the user at the client based on current category scores calculated using current values associated with the metrics in the one or more categories obtained from the retrieved user profile data, and (iii) generating the user confidence score as a ratio of the current user profile score to the baseline user profile score;
• compare the calculated user confidence score against a stored threshold range comprising minimum and maximum confidence threshold scores, wherein the maximum confidence threshold score identifies when the calculated user confidence score indicates too much of a correlation with the user;
• and
• execute an action with respect to the user at the client in response to the received request based on the comparison of the calculated user confidence score against the stored threshold range.