Systems and methods for identifying synthetic identities associated with network communications

A system for use in identifying synthetic identities in connection with network communications, the system comprising an identity network computing device and a first scoring engine associated with the identity network computing device;

• wherein the identity network computing device is configured to:
• receive a request from a relying party for an identity asserted by a user to the relying party, the request including identity data indicative of the identity, feature data associated with the user asserting the identity through a web interface of the relying party, and a device ID for a communication device used to access the web interface of the relying party, the feature data indicative of at least one feature of progression of the user through multiple fields included in the web interface;
• and
• parse the identity data, the feature data, and the device ID from the request and store the identity data, the feature data, and the device ID in at least one data structure;
• and
• wherein the first scoring engine is configured to retrieve the feature data and the device ID from the at least one data structure and calculate a device behavior score, based on the feature data and the device ID;
• wherein the identity network computing device is further configured to:
• aggregate the device behavior score and at least one of a fraud profile score, a user profile score, and/or an exposure behavior score into a metric indicative of a likelihood that the identity asserted by the user is a synthetic identity;
• and
• transmit the metric to the relying party, whereby the relying party relies on the metric to determine whether or not to further interact with the user, based on the asserted identity.

A non-transitory computer-readable storage medium comprising executable instructions for use in identifying synthetic identities in connection with network communications, which when executed by at least one processor, cause the at least one processor to:

• receive a request from a relying party for an identity asserted by a user to the relying party, the request including identity data indicative of the identity, feature data associated with the user asserting the identity through a web interface of the relying party, and a device ID for a communication device used to access the web interface of the relying party, the feature data indicative of at least one feature of progression of the user through multiple fields included in the web interface;
• parse the identity data, the feature data, and the device ID from the request and store the identity data, the feature data, and the device ID in at least one data structure in a memory;
• calculate a device behavior score, based on the feature data and the device ID;
• aggregate the device behavior score and at least one of a fraud profile score, a user profile score, and/or an exposure behavior score into a metric indicative of a likelihood that the identity asserted by the user is a synthetic identity;
• and
• transmit the metric to the relying party, whereby the relying party relies on the metric to determine whether or not to further interact with the user, based on the asserted identity.