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    Anomaly detection based on predicted textual characters
    12.
    发明授权
    Anomaly detection based on predicted textual characters 有权

    公开(公告)号：US11636311B2

    公开(公告)日：2023-04-25

    申请号：US16692144

    申请日：2019-11-22

    Applicant: SPLUNK INC.

    Inventor： Adam Oliner ,  Zidong Yang ,  Sinduja Sreshta

    IPC: G06N3/04 ,  G06Q10/0637 ,  G06F16/2453 ,  G06F40/274

    Abstract: Described herein is a technology that facilitates the production of and the use of automated datagens for event-based systems. A datagen (i.e., data-generator or data generation system) is a component, module, or subsystem of computer systems that searches, monitors, and analyzes machine data. Existing datagens are not capable of detecting an anomaly in machine data. An anomaly is a variance in the input data stream that exceeds some acceptable amount of deviation from the norm (i.e., standard, expectation, etc.). An embodiment of datagen, in accordance with the technology described herein, detects anomalies in the input machine data.

    Automated data-generation for event-based system
    13.
    发明授权
    Automated data-generation for event-based system 有权

    公开(公告)号：US11227208B2

    公开(公告)日：2022-01-18

    申请号：US15224489

    申请日：2016-07-29

    Applicant: Splunk, Inc.

    Inventor： Adam Oliner ,  Zidong Yang ,  Sinduja Sreshta

    IPC: G06N3/04 ,  G06N20/00 ,  G06Q10/06 ,  G06F40/274

    Abstract: Described herein is a technology that facilitates the production of and the use of automated datagens for event-based. A datagen (i.e., data-generator or data generation system) is a component, module, or subsystem of computer systems that searches, monitors, and analyzes machine data. A datagen produces events that are further processed in various ways for subsequent use (such as searching, monitoring, and analysis).

    FACILITATING METRIC FORECASTING VIA A GRAPHICAL USER INTERFACE
    15.
    发明申请
    FACILITATING METRIC FORECASTING VIA A GRAPHICAL USER INTERFACE 审中-公开

    公开(公告)号：US20200320145A1

    公开(公告)日：2020-10-08

    申请号：US16904168

    申请日：2020-06-17

    Applicant: SPLUNK Inc.

    Inventor： Iman Makaremi ,  Gyanendra Rana ,  Iryna Vogler-Ivashchanka ,  Adam Oliner ,  Harsh Keswani ,  Manish Sainani ,  Alexander Kim

    IPC: G06F16/951 ,  H04L12/24 ,  H04L29/08 ,  H04L29/06 ,  G06F16/2458 ,  G06F40/30

    Abstract: Operational machine components of an information technology (IT) or other microprocessor- or microcontroller-permeated environment generate disparate forms of machine data. Network connections are established between these components and processors of an automatic data intake and query system (DIQS). The DIQS conducts network transactions on a periodic and/or continuous basis with the machine components to receive the disparate data and ingest certain of the data as measurement entries of a DIQS metrics datastore that is searchable for DIQS query processing. The DIQS may receive search queries to process against the received and ingested data via an exposed network interface. In one example embodiment, a query building component conducts a user interface using a network attached client device. The query building component may elicit search criteria via the user interface using a natural language interface, construct a proper query therefrom, and present new information based on results returned from the DIQS.

    Methods and systems for determining probabilities of occurrence for events and determining anomalous events
    16.
    发明授权
    Methods and systems for determining probabilities of occurrence for events and determining anomalous events 有权

    公开(公告)号：US10572811B2

    公开(公告)日：2020-02-25

    申请号：US14609135

    申请日：2015-01-29

    Applicant: SPLUNK INC.

    Inventor： Nghi Nguyen ,  Jacob Leverich ,  Adam Oliner

    IPC: G06N7/00

    Abstract: Methods and systems for determining event probabilities and anomalous events are provided. In one implementation, a method includes: receiving source data, where the source data is configured as a plurality of events with associated timestamps; searching the source data, where the searching provides a search result including N events from the plurality of events, where N is an integer greater than one, where each event of the N events includes a plurality of field values, where at least one event of the N events can include one or more categorical field values and one or more numerical field values; and for an event of the N events, determining a probability of occurrence for each field value of the plurality of field values; and using probabilities determined for the plurality of field values, determining a probability of occurrence for the event.

    Masking personally identifiable information from machine-generated data
    20.
    发明授权
    Masking personally identifiable information from machine-generated data 有权

    公开(公告)号：US11928242B2

    公开(公告)日：2024-03-12

    申请号：US17128522

    申请日：2020-12-21

    Applicant: SPLUNK Inc.

    Inventor： Adam Oliner ,  Nghi Nguyen

    IPC: G06F21/62 ,  G06F16/2458

    CPC classification number: G06F21/6254 ,  G06F16/2477

    Abstract: Implementations include receiving a user provided example value of personally identifiable information (PII). Occurrences of the received example value are automatically identified in a dataset of events, wherein each occurrence is identified in a portion of raw machine data of a respective event of the events. For each occurrence of the identified occurrences, an extraction rule is generated, which defines a pattern of the occurrence of the example value and is executable to identify PII values in portions of raw machine data of the events using the pattern. Values of the PII are identified in a set of events using a set of extraction rules comprising the extraction rule of a plurality of the occurrences.

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