MULTI-FACTOR IDENTITY FINGERPRINTING WITH USER BEHAVIOR

摘要

Multi-factor identity fingerprinting with user behavior is disclosed. A user's interactions with one or more parties are tracked and stored in a data store. A party may be a company itself or a company's information system. The user interactions are aggregated in a user profile bound to a particular user. All of the profile, or some subset of the profile may be used to generate an identity fingerprint. The identity fingerprint may be used as authentication credentials, where the similarity of user activity indicia is measured against all or part of the identity fingerprint. Alternatively, the aggregation systems may identify groups or categories of users by behavior by identifying similar identity fingerprints. Similarity may be measured via correlation models. Finally, the data store of profiles may be used for non-authentication systems such as business intelligence, advertising, identity management, and threat monitoring.