U.S. Bancorp, National Association

U.S. Bank National Association

Christopher J Kallas

Xiaoqiao Wei

Wentao Lu

Ding Ma

Sarah Margaret Bettendorf Larson

Adam Michael Tangen

Elise C Soderholm

Carlos A Garavito Garzon

Jon Doyle

Hun Jeong Kang

Yuan Cheng

Chenglin Zhang

A method and related systems for isolating compromised edge nodes in a computing device network based on tracking event patterns in off-network data by obtaining an anomaly indication for an event type associated with a set of event participant identifiers indicated by temporal sequences for a network. Some embodiments may determine a set of compromised nodes based on the events of the event type and restrict or apply a monitoring filter to traffic for the set of compromised nodes.

Intelligent search network for time-based detection of compromised network nodes

Methods and systems for processing a financial instrument, such as a check, are provided. An example method includes performing a text extraction process on a check image to obtain check textual information, and decoding an intelligent mail barcode (IMB) in the check image to obtain a character code. The method further includes utilizing the character code to extract encoded check information including a payee ZIP code from the IMB. The method also includes performing a fraud detection process on the check image based on at least one of (1) scores generated during the text extraction process, or (2) inconsistency between the check textual information and the encoded check information.

Detecting and remediating anomalies in institutional financial instruments using image processing

A method comprises storing a plurality of accounts and generating a hierarchical data structure from the plurality of accounts by: identifying a first set of accounts and a second set of accounts responsive to the first set of accounts and the second set of accounts satisfying a first set of rules; linking the first set of accounts to a first entity profile and the second set of accounts to a second entity profile; and responsive to the first plurality of profile values and the second plurality of profile values of the second entity profile satisfying a second set of rules, linking the first entity profile and the second entity profile to a group entity profile.

Managing hierarchical data structures for entity matching

The disclosure describes an apparatus having programmed instructions that when executed cause the apparatus to receive, via a communication network, information regarding suspicious fraud activity at a first location involving a plurality of transaction cards; monitor changes over a first time interval to received information regarding suspicious fraud activity at the first location; and identify a point-of-compromise (POC) location based on monitored changes surpassing a threshold indicating suspicious fraud activity at the first location over the first time interval.

System for identifying points of compromise

A method comprises storing a plurality of accounts; and generating a hierarchical data structure from the plurality of accounts by: identifying a first set of accounts and a second set of accounts responsive to the first set of accounts and the second set of accounts satisfying a first set of rules; linking the first set of accounts to a first entity profile and the second set of accounts to a second entity profile; and responsive to the first plurality of profile attribute-value pairs and the second plurality of profile attribute-value pairs of the second entity profile satisfying a second set of rules, linking the first entity profile and the second entity profile to a household entity profile by inserting a household identifier into a household attribute-value pair of each account of the first set of accounts and the second set of accounts.

A method comprises storing a plurality of entity profiles; applying a predetermined first set of rules to a plurality of attribute-value pairs of the plurality of entity profiles; identifying a first set of entity profiles that satisfy the predetermined first set of rules; identifying a second set of entity profiles that satisfy the predetermined second set of rules; and updating a first attribute-value pair of the first and second sets of entity profiles by adding a first label to the first attribute-value pair responsive to determining the first set of entity profiles and the second set of entity profiles share a common entity profile.

Entity household generation based on attribute-pair matching

Disclosed are a method, a system, and a non-transitory computer readable medium for identifying data entries associated with an entity. A first rule is applied on a plurality of data entries associated with a plurality of entities to obtain a first set of data entries from the plurality of data entries. Each data entry includes corresponding attributes. The first rule is to search for data entries with a first group of attributes. A second rule is applied on the plurality of data entries associated with a plurality of entities to obtain a second set of data entries from the plurality of data entries. The second rule is to search for data entries with a second group of attributes. A third set of data entries associated with a single entity is obtained based on the first set of data entries and the second set of data entries.

Growing community of inventors

Grafton, WI, United States of America

Christopher J Kallas