Visa International Service Association

Xiao Tian

Chiranjeet Chetia

Jianhua Huang

Shi Cao

Marc Corbalan Vila

Claudia Carolina Barcenas Cardenas

Stuart Mark Williams

Francisco Cardona Lema

Provided are a system, method, and computer program product for network anomaly detection. The method includes determining a plurality of nested groups based on event data associated with a plurality of communications in a computer network. The method also includes generating display data configured to cause a display of a computing device to show a first graphical representation of the event data including a plurality of nested graphical nodes. The method further includes receiving new event data associated with a plurality of new communications in the computer network in a subsequent time period and generating new display data configured to cause the display to show a new graphical representation of the new event data. The method further includes determining an anomalous graphical node based at least partly on a size of the anomalous graphical node being increased in the new graphical representation relative to the first graphical representation.

System, method, and computer program product for network anomaly detection

Provided are a method, system, and computer program product for generating synthetic data. The method includes generating a correlation graph of a plurality of data types based on a plurality of correlations. The method also includes generating a directed acyclic graph of the plurality of data types based on the correlation graph. The method further includes traversing the directed acyclic graph to produce a hierarchical graph of the plurality of data types, wherein the hierarchical graph includes a plurality of nodes, and wherein each node of the plurality of nodes is associated with a data type of the plurality of data types. The method further includes generating synthetic training data including a plurality of records of data by repeatedly traversing the hierarchical graph and based on a plurality of sets of values and a plurality of sets of interdependencies.

System, method, and computer program product for generating synthetic data

Methods, systems, and computer program products for learning continuous embedding space of real time payment (RTP) transactions are provided. A method may include receiving RTP data including a plurality of attributes, including a sender and a receiver. One attribute is selected as a target attribute. The remaining attributes are input into a first machine learning model (e.g., NLP model), comprising at least one embedding layer and one hidden layer, which is trained to predict the target attribute. After the model is trained, each of the remaining attributes are converted to a first vector using the at least one embedding layer of the machine learning model to form a first set of vectors. The first set of vectors are stored and subsequently input into a second machine learning model to perform at least one second task different than the first task.

System, method, and computer program product for learning continuous embedding space of real time payment transactions

Provided are a system, method, and computer program product for network anomaly detection. The method includes receiving event data associated with a plurality of events in a computer network. The method also includes determining nested groups of the event data representing tiers of an operational hierarchy. The method further includes generating display data to show a graphical representation of the event including a plurality of nested graphical nodes and at least one spline. Each graphical node is associated with a group or a computer node, each graphical node encompasses and/or is encompassed by another graphical node, a size of each graphical node is proportional to an aggregated parameter value of events associated therewith, each spline connects at least two graphical nodes and includes a curve that passes through a common graphical node, and each spline is associated with a communication between at least two computer nodes.

Provided are a system, method, and computer program product for generating synthetic data. The method includes receiving a plurality of data types associated with an environment to be evaluated and receiving a plurality of correlations of one data type to another data type. The method also includes generating a correlation graph of the plurality of data types based on the plurality of correlations and generating a directed acyclic graph of the plurality of data types based on the correlation graph. The method further includes generating a hierarchical graph of the plurality of data types by applying a path traversal technique to the directed acyclic graph and generating a synthetic dataset by repeatedly traversing the hierarchical graph to generate a plurality of records of data.

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Austin, TX, United States of America

Xiao Tian