A computer-implemented method, comprising: identifying a set of data privacy elements , wherein a data privacy element characterizes a computing device feature, and wherein a data privacy element is detectable by a network host ; generating an artificial profile model by evaluating the set of data privacy elements using one or more machine-learning techniques, wherein the artificial profile model includes the set of data privacy elements, wherein the artificial profile model defines a relationship between two or more data privacy elements, wherein a relationship is associated with one or more constraints, and wherein a result of the evaluation is used to determine the one or more constraints for generating new artificial profiles; receiving a signal indicating that a computing device is requesting access to a network location; detecting one or more data privacy elements associated with the computing device request to access the network location; determining an artificial profile for the computing device, wherein the artificial profile includes the one or more data privacy elements , and wherein the artificial profile is usable to identify the computing device; modifying the one or more data privacy elements, wherein the one or more data privacy elements are modified according to a constraint associated with the relationship defined by the artificial profile model; and generating a new artificial profile for the computing device, wherein the new artificial profile includes the modified one or more data privacy elements , and wherein the new artificial profile masks the computing device from being identified. identifying a set of data privacy elements , wherein a data privacy element characterizes a computing device feature, and wherein a data privacy element is detectable by a network host ; generating an artificial profile model by evaluating the set of data privacy elements using one or more machine-learning techniques, wherein the artificial profile model includes the set of data privacy elements, wherein the artificial profile model defines a relationship between two or more data privacy elements, wherein a relationship is associated with one or more constraints, and wherein a result of the evaluation is used to determine the one or more constraints for generating new artificial profiles; receiving a signal indicating that a computing device is requesting access to a network location; detecting one or more data privacy elements associated with the computing device request to access the network location; determining an artificial profile for the computing device, wherein the artificial profile includes the one or more data privacy elements , and wherein the artificial profile is usable to identify the computing device; modifying the one or more data privacy elements, wherein the one or more data privacy elements are modified according to a constraint associated with the relationship defined by the artificial profile model; and generating a new artificial profile for the computing device, wherein the new artificial profile includes the modified one or more data privacy elements , and wherein the new artificial profile masks the computing device from being identified. <EOS>