Fraud detection systems and methods
OwnerAndrew Burke, Thomas Chalker +6inventors
InventorsAndrew Burke, Thomas Chalker, Jamie King, Jonathan Lilly, Alain O'Dea, Raymond Pretty, Charles Robertson, Shuang Wu
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Abstract
Systems and methods disclosed herein related to a fraud detection system that receives data from multiple sources and normalizes the data to create transaction data using overlapping data from the multiple sources. Fraud analysis is performed using a probabilistic approach to alert generation, wherein alerts are only sent to customers when the probability of fraud exceeds a threshold. As a result, false positives are avoided.
Claims12
A computer-implemented method for removing personally identifiable data comprising:
- receiving, by a computer of a fraud detection system, financial transaction data associated with one or more financial transactions from a server of a first financial institution, wherein the server of the first financial institution records the financial transaction data in a non-transitory memory;
- identifying, by the computer of the fraud detection system, personally identifiable data within the financial transaction data received from the first financial institution;
- generating, by the computer of the fraud detection system, a first set of hashed data of the personally identifiable data by applying a hashing algorithm using a first hash key to the personally identifiable data;
- generating, by the computer of the fraud detection system, a first reverse hashing map by creating a table including information used for converting the first set of hashed data back into the personally identifiable data received from the first financial institution;
- transmitting, by the computer of the fraud detection system, the first reverse hashing map to the server of the first financial institution;
- deleting, by the computer of the fraud detection system, the first reverse hashing map and the first hash key;
- performing, by the computer of the fraud detection system, fraud analysis using the first set of hashed data;
- generating, by the computer of the fraud detection system, a report containing the likelihood one or more transactions recorded in the financial transaction data are associated with fraud, wherein the report contains first set of hashed data instead of the personally identifiable data;
- transmitting, by the computer of the fraud detection system, the report to the server of the first financial institution;
- and
- retrieving, by the server of the first financial institution, the personally identifiable data from the report using the first reverse hashing map and the first set of hashed data.
Dependencies are inferred from the claim text.