Time Based Anomaly Analysis in Digital Documents

摘要

A document metadata analysis system may analyze a digital document's metadata structure to identify consistencies or inconsistencies in the metadata. The analysis system may further compare a group of documents to identify consistencies or inconsistencies across multiple documents. The analysis system may analyze a metadata structure to identify time, date, and place parameters, then attempt to normalize the time and date parameters to a consistent time, such as local time. Various clustering techniques may be used to group parameters together, then populate metadata time, date and time-zone offset parameters that may be unpopulated. Seeding techniques may be used to populate the some parameters with a probable parameter value, then various clustering techniques may be used to further populate the parameter values. The metadata from multiple documents may be utilized for an additional seeding mechanism and may be compared against each other to further populate unpopulated parameter values.

主权项

1. A method performed on at least one computer processor, said method comprising:
receiving a metadata structure from a digital document, said metadata structure comprising at least some predefined values; analyzing said metadata structure to identify time-related parameters; performing a clustering analysis of said time-related parameters; determining a predicted value for a first time-related parameter, said predicted value being determined from said clustering analysis; comparing said predicted value to a first predefined value received in said metadata structure to determine a fraud likelihood for said digital document; and reporting said fraud likelihood for said digital document.