METHOD, APPARATUS, SYSTEM, AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR DETECTING ANOMALOUS USER ACCESS BEHAVIORS

    公开(公告)号:US20240356945A1

    公开(公告)日:2024-10-24

    申请号:US18304245

    申请日:2023-04-20

    IPC分类号: H04L9/40 G06N20/00

    摘要: A server for detecting anomalies associated with users accessing a network is caused to receive a dataset including static data and dynamic data. The static data includes location data of resources associated with the network and user data, and the dynamic data includes user access events. The server is further caused to detect, with a plurality of unsupervised machine learning models, an anomaly associated with a user accessing the network based on the static data and the dynamic data, determine whether the detected anomaly is critical, and in response to determining the detected anomaly is critical, generate and transmit a security alert specific to the detected anomaly to a security operation center. Other example servers, systems, apparatuses, methods, and non-transitory computer readable medium for detecting anomalies associated with users accessing a network are also disclosed.

    METHOD, APPARATUS, SYSTEM, AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR PRESERVING TRADING TIME SERIES

    公开(公告)号:US20240338703A1

    公开(公告)日:2024-10-10

    申请号:US18297936

    申请日:2023-04-10

    IPC分类号: G06Q20/40

    CPC分类号: G06Q20/4016

    摘要: A system, apparatus, method, and non-transitory computer readable medium for performing co-trading changepoint detection may include a server caused to, receive a transaction dataset, the transaction dataset including a plurality of transactions for analysis, each transaction of the plurality of transactions associated with a user account involved in the transaction, a transaction object involved in the transaction, and transaction timestamp information corresponding to a time of occurrence of the transaction, the user account being one of a plurality of user accounts, generate a first network graph based on the transaction dataset, the first network graph including object nodes and user account nodes representing each of the transactions of the transaction dataset, transform the first network graph into at least one time-dependent transformed graph, and generate at least one potential fraud alert based on results of the network analysis.

    EVENT-DRIVEN COMPUTER MODELING SYSTEM FOR TIME SERIES DATA

    公开(公告)号:US20240143567A1

    公开(公告)日:2024-05-02

    申请号:US18410445

    申请日:2024-01-11

    发明人: John Scott KULA

    IPC分类号: G06F16/21 G06F16/23

    摘要: A system stores instructions including, in response to receiving user input, identifying a first event type and a first security identifier and obtaining a first set of event dates from the event database and, for each event date of the first set of event dates, obtaining a corresponding event value on the corresponding event date of the first security identifier. The instructions include, for a first day related to each event date of the first set of event dates: obtaining a corresponding value on the first day of the first security identifier, determining a corresponding difference value between the corresponding event value and the corresponding value, and storing the corresponding difference value in a set of difference values. The instructions include calculating an average difference on the first day using the set of difference values and displaying the average difference and an event indicator corresponding to the first event type.

    COMPUTERIZED SYSTEM FOR USER-DIRECTED CUSTOMIZATION AND USER INTERFACE TRANSFORMATION

    公开(公告)号:US20240095087A1

    公开(公告)日:2024-03-21

    申请号:US18524816

    申请日:2023-11-30

    摘要: A system includes a processor and memory, storing asset identifiers. The asset identifiers correspond to (i) a respective index and (ii) a respective category. The memory stores instructions for execution by the processor. The instructions include, in response to receiving a request signal from a user device, obtaining a set of asset identifiers corresponding to a first index indicated in the request signal and filtering the set of asset identifiers based on a first category indicated in the request signal. The instructions include generating an adjusted set of asset identifiers by, for each category represented in the filtered set of asset identifiers, adjusting a representation ratio of the asset identifiers associated with the corresponding category in response to the request signal including the representation ratio associated with the corresponding category, and transforming an interface of the user device by rendering a graphical depiction of the adjusted set of asset identifiers.