Patent ID: 9058285
Filing Date: 2015-06-16
Classification: G06F,G06K,G06Q

Abstract:
1. A computer-processed method for detecting fraudulent data stored as a database on any physical computer comprising: applying a computer-processing sorting-algorithm to the entire data from low to high and loading the resultant ordered data into a dedicated compartment within memory hardware; partitioning by a processor the entire range of said resultant ordered data from said dedicated compartment into smaller sub-intervals effecting data analysis on said data based on at least one preselected template attribute via computer processes; selecting by the processor each said sub-interval individually as a complete data set in order to be able to calculate in the next stage its unique digital arrangement and placing each sub-interval within a dedicated compartment in memory hardware; determining by the processor mini leading digits distributions via a computer-based process of an algorithm which transforms and breaks down numbers into their constituent digits followed by a computerized process of the elimination of all the digits except the first one appearing on the left-most side of numbers for each of the said sub-intervals in each of the dedicated memory compartments; comparing by the processor leading digits distributions of individual sub-intervals in their respective dedicated compartment within memory hardware to the Benford condition which is stored in a separate dedicated compartment within memory hardware via a computation of a singular numerical measure to be called ‘DS’ signifying degree of digital skew-ness and defined as the sum of six positive and negative ratios of [(observed % of digit d)−(theoretical Benford % of digit d)]/(theoretical Benford % of digit d) as d varies from 1 to 2 for positive ratios and from 6 to 9 for negative ratios; comparing by the processor the overall rise in the series of all DS values as focus shifts from the lowest sub-interval on the left until the highest sub-interval on the right to the supposed theoretical overall rise in generic DS series along the entire range of data for the idealized honest data; and identifying by the processor a plurality of reported data types for suspicion of fraud if said observed overall rise of DS series residing within its dedicated memory compartment deviates too far from the supposed honest theoretical overall rise of DS series residing in its separate dedicated computer compartment.