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1.发明申请公开(公告)号：US20190312869A1
公开(公告)日：2019-10-10
申请号：US15946528
申请日：2018-04-05
摘要： A system for providing data security and protection using distributed ledgers to store validated data in a global knowledge graph for fraud detection is disclosed. The system may comprise a data access interface, a processor, and an output interface. The data access interface may receive data associated with an individual from a data source. The processor may convert the data into knowledge graph data by: extracting entities from the data; extracting relations from the data; and translating the data into knowledge graph triples to generate the knowledge graph data. The processor may validate the knowledge graph data using a cryptographic validation, such as blockchain or distributed ledgers, on the knowledge graph data to provide secured contents to update a global knowledge graph. The processor may then determine a fraudulent activity level associated with the individual based on the updated global knowledge graph. The output interface may transmit to a report associated with the fraudulent activity level to a report requestor at a computing device.
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2.发明申请公开(公告)号：US20190114210A1
公开(公告)日：2019-04-18
申请号：US15786060
申请日：2017-10-17
摘要： A system includes one or more devices to receive a first set of data. The system transmits the first set of data to a first data store for storage. The first data store is of a first data format type. The system transmits the first set of data to a node of a plurality of nodes. The node to perform an action on the first set of data and a second set of data to generate a third set of data. The node to transmit the third set of data to a third data store. The third data store being of a third data format type that is different than the first data format type and the second data format type. The system transmits the third set of data from the third data store to the first data store for reporting.
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3.发明申请公开(公告)号：US20180365773A1
公开(公告)日：2018-12-20
申请号：US15626804
申请日：2017-06-19
发明人： Jingguang HAN , Md Faisal ZAMAN , Dadong WAN , Alejandro CABELLO JIMENEZ , Esteban COLLADO CESPON
摘要： A platform may obtain, for a first set of entities involved in a money laundering investigation, target entity information for a target entity and related entity information for a set of related entities. The platform may analyze the target entity information and the related entity information to identify money laundering candidates. The platform may determine one or more relationships indicating a degree of similarity between the target entity and the one or more related entities. The platform may generate a graph data structure that associates the target entity and the one or more related entities using the one or more relationships. The platform may determine a score for the target entity and one or more scores for the one or more related entities. The platform may provide a recommendation indicating whether the target entity and/or the one or more related entities are likely to be engaging in money laundering.
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公开(公告)号：US20200097601A1
公开(公告)日：2020-03-26
申请号：US16143014
申请日：2018-09-26
发明人： Jingguang HAN , Dadong WAN , Edward Philip BURGIN
摘要： An example method may include receiving unstructured data; identifying a first plurality of entities in the unstructured data; identifying first relationships associated with the first plurality of entities using an entity relation model; receiving structured data; identifying a second plurality of entities in the structured data; identifying second relationships associated with the second plurality of entities using the entity relation model; generating a knowledge graph that is representative of the first plurality of entities, wherein the first relationships are associated with the first plurality of entities and the second relationships are associated with the second plurality of entities; determining a probability that a first node from the knowledge graph and a second node from the knowledge graph corresponds to a same entity; and performing an action associated with the probability that the first node and the second node corresponds to the same entity.
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公开(公告)号：US20180365674A1
公开(公告)日：2018-12-20
申请号：US15626795
申请日：2017-06-19
发明人： Jingguang HAN , Jadran SIROTKOVIC , Dadong WAN , Xin ZUO
摘要： A device may obtain, for a set of transactions, a set of transaction values associated with a particular industry. The device may determine one or more sample statistical distributions for a probabilistic transaction model by using one or more machine learning techniques. The one or more sample statistical distributions may be similar to one or more actual statistical distributions that are associated with the set of transaction values. The device may generate simulated transaction information using the probabilistic transaction model. The device may perform one or more actions after generating the simulated transaction information.
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