Abstract: In some examples, a computerized sanction screening system may include an automated system for collection of sanction information, and a routine for analyzing additional available data related to sanction information entities. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing relevant information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated transaction system can check data from transactions and automatically identify and flag potentially sanctioned transactions. Then upon exceeding a preset contextual limit, a potential blocking warning is issued.

Abstract: An example merchant fraud system may include an automated system for collecting contextual relationship information, plus a routine for analyzing additional data related to sanctions. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated relationship examination system can check data from transactions and automatically identify and flag potentially suspect relationship aspects. The system may issue a fraud warning and may review a flagged transaction cluster, accepting transactions when transaction cluster items do not contain links to a known bad entity. Based on a hit with a suspect entity, the breadth of the examined co-related items may be expanded, and if that expansion results in one or more suspect connections, a transaction is rejected and sent for further review.

Abstract: A controller for user authentication and access control, configured to: store data representing a graph having: nodes representing data elements associated with accesses made using an access token; and links among the nodes representing connections between the data elements identified in details of the accesses. In response to receiving details of an access made using the access token, the controller updates the graph according to the details and determines a plurality of measurements of the graph. After computing a score of the graph based on a weighted average of the measurements, the controller authenticates the user of the access and/or controls the access based on the score.

Abstract: A controller for user authentication and access control, configured to: store data representing a graph having: nodes representing data elements associated with accesses made using an access token; and links among the nodes representing connections between the data elements identified in details of the accesses. In response to receiving details of an access made using the access token, the controller updates the graph according to the details and identifies changes in the graph resulting from update. For each of the changes, the controller identifies a set of elements in the graph that are up to a predetermined number of degrees of separate from the change and evaluates the trustworthiness of user identities corresponding to the set of elements identified for the change. Based on the trustworthiness, the controller authenticates the user of the access and/or controls the access.

Abstract: A controller for user authentication and access control, configured to: store data representing a graph having: nodes representing data elements associated with accesses made using an access token; and links among the nodes representing connections between the data elements identified in details of the accesses. In response to receiving details of an access made using the access token, the controller updates the graph according to the details and identifies a new connection in the graph resulting from update. The controller communicates with an identity service to verify the association of data elements corresponding to the new connection in the graph. Based on a result of the verification, the controller authenticates the user of the access and/or controls the access.

Abstract: In some examples, a computerized sanction screening system may include an automated system for collection of sanction information, and a routine for analyzing additional available data related to sanction information entities. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing relevant information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated transaction system can check data from transactions and automatically identify and flag potentially sanctioned transactions. Then upon exceeding a preset contextual limit, a potential blocking warning is issued.

Abstract: A controller for user authentication and access control, configured to: store data representing a graph having: nodes representing data elements associated with accesses made using an access token; and links among the nodes representing connections between the data elements identified in details of the accesses. In response to receiving details of an access made using the access token, the controller updates the graph according to the details and identifies a new connection in the graph resulting from update. The controller communicates with an identity service to verify the association of data elements corresponding to the new connection in the graph. Based on a result of the verification, the controller authenticates the user of the access and/or controls the access.

Abstract: An example merchant fraud system may include an automated system for collecting contextual relationship information, plus a routine for analyzing additional data related to sanctions. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated relationship examination system can check data from transactions and automatically identify and flag potentially suspect relationship aspects. The system may issue a fraud warning and may review a flagged transaction cluster, accepting transactions when transaction cluster items do not contain links to a known bad entity. Based on a hit with a suspect entity, the breadth of the examined co-related items may be expanded, and if that expansion results in one or more suspect connections, a transaction is rejected and sent for further review.

Abstract: An example merchant fraud system may include an automated system for collecting contextual relationship information, plus a routine for analyzing additional data related to sanctions. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated relationship examination system can check data from transactions and automatically identify and flag potentially suspect relationship aspects. The system may issue a fraud warning and may review a flagged transaction cluster, accepting transactions when transaction cluster items do not contain links to a known bad entity. Based on a hit with a suspect entity, the breadth of the examined co-related items may be expanded, and if that expansion results in one or more suspect connections, a transaction is rejected and sent for further review.

Abstract: In some examples, a computerized sanction screening system may include an automated system for collection of sanction information, and a routine for analyzing additional available data related to sanction information entities. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing relevant information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated transaction system can check data from transactions and automatically identify and flag potentially sanctioned transactions. Then upon exceeding a preset contextual limit, a potential blocking warning is issued.

Abstract: A computerized anti-money-laundering and anti-fraud transaction analysis system may include a computerized cryptocurrency analysis tool system operatively coupled over a computerized network to a cryptocurrency exchange, a cryptocurrency exchange ledger and/or a know-your-customer facility. The computerized cryptocurrency analysis tool may include an automated payment cluster analysis routine for analyzing transaction data for a plurality of proposed cryptocurrency transactions. The transaction data for the plurality of proposed cryptocurrency transactions may be obtained from the cryptocurrency exchange, cryptocurrency ledger and/or the know-your-customer facility. The automated payment cluster analysis routine automatically identifies a cluster of related transactions in the plurality of proposed cryptocurrency transactions based upon an analysis of a plurality of transaction data items associated with each of the proposed cryptocurrency transactions.

Abstract: An authentication system for electronic transactions occurring over a computerized network is provided that includes: (a) a transaction authentication system interface operatively coupled to the computerized network for receiving proposed transactions information over the computerized network; and (b) a transaction authentication tool, operatively coupled to the transaction authentication system interface, where the tool includes: an automated anti-fraud analysis component for analyzing transactions information from a plurality of proposed transactions and automatically rejecting a first subset of proposed transactions according to automatic rejection criteria and automatically assigning a second subset of transactions for additional review; and an automated acceptance component for analyzing the second subset of transactions and accepting a third subset of transactions from the second subset based upon automatic accepting criteria.

Abstract: A headlamp assembly includes a headlamp housing, a lens affixed to the housing, thereby defining an interior space of the assembly, and a reflector defining an aperture and arranged within the interior space. The assembly also includes a retention bracket mounted to the reflector and a first seal attached to the bracket for keeping moisture from the interior space. The assembly also includes an adapter element that can be fastened or unfastened at the bracket, and a second seal arranged between the adapter and the bracket for keeping moisture from an interface between the bracket and the adapter. The assembly additionally includes a light bulb mounted to the adapter and extending through the aperture toward the lens, and a connector establishing an electrical connection with the bulb. Furthermore, the assembly includes a third seal arranged between the connector and the adapter and configured to keep moisture from the electrical connection.

Abstract: A headlamp assembly includes a headlamp housing, a lens affixed to the housing, thereby defining an interior space of the assembly, and a reflector defining an aperture and arranged within the interior space. The assembly also includes a retention bracket mounted to the reflector and a first seal attached to the bracket for keeping moisture from the interior space. The assembly also includes an adapter element that can be fastened or unfastened at the bracket, and a second seal arranged between the adapter and the bracket for keeping moisture from an interface between the bracket and the adapter. The assembly additionally includes a light bulb mounted to the adapter and extending through the aperture toward the lens, and a connector establishing an electrical connection with the bulb. Furthermore, the assembly includes a third seal arranged between the connector and the adapter and configured to keep moisture from the electrical connection.

Abstract: A lighting apparatus for illuminating a license plate includes a light source and a multilayer light guide. The multilayer light guide is configured to carry light from the light source and to cast light onto the license plate. The multilayer light guide includes a first layer having an exterior surface opposite the location of the license plate. A second layer is disposed between the first layer and the location of the license plate and directly abuts the light source. A third layer is disposed between the second layer and the location of the license plate. The second layer has greater index of refraction than at least one of the first layer and the third layer. In some configurations, the layer carrying light, which may be referred to as the light guide, may be formed from a multilayer optical film.

Abstract: A lighting apparatus for illuminating a license plate includes an LED element and an appliqué. The appliqué has an exterior surface, which is substantially opaque, facing away from the license plate and an interior surface facing toward the license plate. A light guide is disposed between the exterior surface and the license plate, and has a first end with a first optic formed thereon. The light guide carries light from the LED element to the first optic and casts light onto the license plate.

Abstract: A system, method, and computer program product are provided for displaying network events in terms of objects managed by at least one of a security appliance and a routing device. In use, network events are received. Furthermore, the network events are displayed in terms of objects being managed by at least one of a security appliance and a routing device.

Abstract: A method for increasing production in a reservoir, comprising performing a swabbing test at a depth in a pipe, wherein the pipe is located in a wellbore and wherein a portion of the wellbore is located inside the reservoir, periodically measuring, during the swabbing test, pressure in the bottom portion of the pipe using the pressure gauge to obtain a plurality of pressure measurements, wherein the pressure gauge is affixed to an inner wall of a bottom portion of the pipe, and determining a plurality of flow rates of fluid flowing from the reservoir through perforations in the wellbore into the pipe using a flow rate equation and the plurality of pressure measurements.

Abstract: A system, method, and computer program product are provided for displaying network events in terms of objects managed by at least one of a security appliance and a routing device. In use, network events are received. Furthermore, the network events are displayed in terms of objects being managed by at least one of a security appliance and a routing device.

Abstract: A method for increasing production in a reservoir, comprising performing a swabbing test at a depth in a pipe, wherein the pipe is located in a wellbore and wherein a portion of the wellbore is located inside the reservoir, periodically measuring, during the swabbing test, pressure in the bottom portion of the pipe using the pressure gauge to obtain a plurality of pressure measurements, wherein the pressure gauge is affixed to an inner wall of a bottom portion of the pipe, and determining a plurality of flow rates of fluid flowing from the reservoir through perforations in the wellbore into the pipe using a flow rate equation and the plurality of pressure measurements