公开(公告)号：US08752178B2

公开(公告)日：2014-06-10

申请号：US13956285

申请日：2013-07-31

Applicant: Splunk Inc.

Inventor： John Coates ,  Lucas Murphey ,  David Hazekamp ,  James Hansen

IPC: G06F11/00

CPC classification number: H04L63/1433 ,  G06F17/30598 ,  G06F21/554 ,  G06F2221/034 ,  G06F2221/2151 ,  H04L63/14 ,  H04L63/1408 ,  H04L63/1416 ,  H04L63/20

Abstract: A disclosed computer-implemented method includes receiving and indexing the raw data. Indexing includes dividing the raw data into time stamped searchable events that include information relating to computer or network security. Store the indexed data in an indexed data store and extract values from a field in the indexed data using a schema. Search the extracted field values for the security information. Determine a group of security events using the security information. Each security event includes a field value specified by a criteria. Present a graphical interface (GI) including a summary of the group of security events, other summaries of security events, and a remove element (associated with the summary). Receive input corresponding to an interaction of the remove element. Interacting with the remove element causes the summary to be removed from the GI. Update the GI to remove the summary from the GI.

Abstract translation: 所公开的计算机实现的方法包括接收和索引原始数据。 索引包括将原始数据划分为包含与计算机或网络安全相关的信息的时间戳搜索事件。 将索引数据存储在索引数据存储中，并使用模式从索引数据中的字段中提取值。 搜索提取的字段值以获取安全信息。 使用安全信息确定一组安全事件。 每个安全事件都包括由条件指定的字段值。 提供包括安全事件组的摘要，安全事件的其他摘要和删除元素（与摘要相关联）的图形界面（GI）。 接收与删除元素的交互相对应的输入。 与删除元素进行交互会导致摘要从GI中移除。 更新GI以从GI中删除摘要。

公开(公告)号：US20130318236A1

公开(公告)日：2013-11-28

申请号：US13956338

申请日：2013-07-31

Applicant: Splunk, Inc.

Inventor： John Coates ,  Lucas Murphey ,  James Hansen ,  David Hazekamp

IPC: H04L12/26

CPC classification number: H04L43/045 ,  H04L41/22

Abstract: A system and computer-implemented is provided for displaying a configurable metric relating to an environment in a graphical display along with a value of the metric calculated over a configurable time period. The metric is used to identify events of interest in the environment based on processing real time machine data from one or more sources. The configurable metric is selected and a corresponding value is calculated based on the events of interest over the configurable time period. The value of the metric may be continuously updated in real time based on receiving additional real-time machine data and displayed in a graphical interface as time progresses. Statistical trends in the value of the metric may also be determined over the configurable time period and displayed in the graphical interface as well as an indication if the value of the metric exceeds a configurable threshold value. Further, a selection of one or more thresholds for the value of the metric may be applied and an indication displayed indicating if the threshold(s) have been exceeded.

Abstract translation: 提供了一种系统和计算机实现的，用于显示与图形显示中的环境相关的可配置度量以及在可配置的时间段内计算出的度量的值。 该度量用于基于处理来自一个或多个源的实时机器数据来识别环境中感兴趣的事件。 选择可配置度量，并根据可配置时间段内感兴趣的事件计算相应的值。 可以基于接收附加的实时机器数据来实时地持续更新度量的值，并且随着时间的推移在图形界面中显示。 度量值的统计趋势也可以在可配置的时间周期上确定并显示在图形界面中，以及指示值是否超过可配置的阈值。 此外，可以应用对度量的值的一个或多个阈值的选择，并且显示指示是否已经超过阈值的指示。

公开(公告)号：US12130866B1

公开(公告)日：2024-10-29

申请号：US17114423

申请日：2020-12-07

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  David Hazekamp

IPC: G06F16/30 ,  G06F16/903 ,  G06F16/9032 ,  G06F16/906 ,  G06F16/907

CPC classification number: G06F16/90335 ,  G06F16/9032 ,  G06F16/906 ,  G06F16/907

Abstract: One or more processing devices receive a definition of a search query for a correlation search of a data store, the data store comprising time-stamped events that each include raw machine data reflecting activity in an information technology environment and produced by a component of the information technology environment, receive a definition of a triggering condition to be evaluated based on aggregated statistics of values of one or more fields of a dataset produced by the search query, receive a definition of one or more actions to be performed when the triggering condition is satisfied, generate, using search processing language, a statement to define the search query and the triggering condition, and in view of the results of the execution of the search processing language, cause generation of the correlation search using the defined search query, the triggering condition, and the one or more actions, the correlation search comprising updated search processing language having the search query and a processing command for criteria on which the triggering condition is based.

公开(公告)号：US12034759B2

公开(公告)日：2024-07-09

申请号：US17507698

申请日：2021-10-21

Applicant: SPLUNK INC.

Inventor： John Coates ,  Lucas Murphey ,  David Hazekamp ,  James Hansen

IPC: H04L9/40 ,  G06F16/28 ,  G06F21/55

CPC classification number: H04L63/1433 ,  G06F16/285 ,  G06F21/554 ,  H04L63/14 ,  H04L63/1408 ,  H04L63/1416 ,  G06F2221/034 ,  G06F2221/2151 ,  H04L63/20

Abstract: A disclosed computer-implemented method includes receiving and indexing the raw data. Indexing includes dividing the raw data into time stamped searchable events that include information relating to computer or network security. Store the indexed data in an indexed data store and extract values from a field in the indexed data using a schema. Search the extracted field values for the security information. Determine a group of security events using the security information. Each security event includes a field value specified by a criteria. Present a graphical interface (GI) including a summary of the group of security events, other summaries of security events, and a remove element (associated with the summary). Receive input corresponding to an interaction of the remove element. Interacting with the remove element causes the summary to be removed from the GI. Update the GI to remove the summary from the GI.

公开(公告)号：US11736502B2

公开(公告)日：2023-08-22

申请号：US16944460

申请日：2020-07-31

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  Francis Gerard ,  Richard Barger ,  Bhavin Patel ,  Patrick Schulz ,  Chinmay Kulkarni

IPC: G06F16/951 ,  G06F9/448 ,  H04L9/40 ,  G06F3/0482 ,  G06T11/20

CPC classification number: H04L63/1425 ,  G06F9/4498 ,  G06F16/951 ,  H04L63/145 ,  H04L63/1416 ,  G06F3/0482 ,  G06T11/206 ,  G06T2200/24

Abstract: Techniques and mechanisms are disclosed for a data intake and query system to generate “meta-notable” events by applying a meta-notable event rule to a collection of notable event data. A meta-notable event rule specifies one or more patterns of notable event instances defined by a set of notable event states and a set of transition rules (also referred to as association rules) indicating conditions for transitioning from one notable event state to another. The set of notable event states includes at least one start state and at least one end state. A meta-notable event is generated when a set of analyzed notable events satisfies a set of transition rules linking a start state to an end state (including transitions through any intermediary states between the start state and the end state).

公开(公告)号：US20220300522A1

公开(公告)日：2022-09-22

申请号：US17833816

申请日：2022-06-06

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  David Hazekamp

IPC: G06F16/2457 ,  G06F16/951 ,  G06F16/23 ,  G06F16/2458 ,  G06F16/2455 ,  G06F16/22 ,  G06F16/215

Abstract: Systems and methods for assigning scores to objects based on evaluating triggering conditions applied to datasets produced by search queries in data aggregation and analysis systems. An example method includes causing display of a user interface for generating a correlation search, the correlation search comprising a search query, a triggering condition to be applied to a dataset produced by the search query, and one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, wherein the one or more actions comprise at least modifying a score assigned to an object to which the dataset produced by the search query pertains. The example method also includes receiving, via the user interface, user input identifying the one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, the one or more actions comprising modifying the score assigned to the object, and causing generation of the correlation search based on the user input, the correlation search reflecting an association between the one or more actions and the triggering condition.

公开(公告)号：US11354322B2

公开(公告)日：2022-06-07

申请号：US16715015

申请日：2019-12-16

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  David Hazekamp

IPC: G06F16/20 ,  G06F16/2457 ,  G06F16/951 ,  G06F16/23 ,  G06F16/2458 ,  G06F16/2455 ,  G06F16/22 ,  G06F16/215

Abstract: Systems and methods for assigning scores to objects based on evaluating triggering conditions applied to datasets produced by search queries in data aggregation and analysis systems. An example method may comprise providing an interface for generating a correlation search, the interface facilitating user input of (i) one or more search criteria for a search query of the correlation search, (ii) a triggering condition to be applied to a dataset produced by the search query, and (iii) one or more actions to be performed when the dataset produced by search query satisfies the triggering condition, wherein the one or more actions comprise at least modifying a score assigned to an object to which the dataset produced by the search query pertains, and causing generation of the correlation search based on the user input.

公开(公告)号：US10860655B2

公开(公告)日：2020-12-08

申请号：US15688323

申请日：2017-08-28

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  David Hazekamp

IPC: G06F17/00 ,  G06F16/903 ,  G06F16/9032 ,  G06F16/906 ,  G06F16/907 ,  G06F17/30

Abstract: One or more processing devices receive a definition of a search query for a correlation search of a data store, the data store comprising time-stamped events that each comprise a portion of raw machine data reflecting activity in an information technology environment and produced by a component of the information technology environment, receive a definition of a triggering condition to be applied to a dataset that is produced by the search query, receive a definition of one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, test the search query with the triggering condition, and cause, based on results of the testing, generation of the correlation search using the defined search query, the triggering condition, and the one or more actions, the correlation search comprising search processing language having the search query and a processing command for criteria on which the triggering condition is based.

公开(公告)号：US10567412B2

公开(公告)日：2020-02-18

申请号：US16100147

申请日：2018-08-09

Applicant: SPLUNK INC.

Inventor： Munawar Monzy Merza ,  John Coates ,  James M Hansen ,  Lucas Murphey ,  David Hazekamp ,  Michael Kinsley ,  Alexander Raitz

IPC: H04L29/06 ,  G06F21/55 ,  G06F16/2458

Abstract: A metric value is determined for each event in a set of events that characterizes a computational communication or object. For example, a metric value could include a length of a URL or agent string in the event. A subset criterion is generated, such that metric values within the subset are relatively separated from a population's center (e.g., within a distribution tail). Application of the criterion to metric values produces a subset. A representation of the subset is presented in an interactive dashboard. The representation can include unique values in the subset and counts of corresponding event occurrences. Clients can select particular elements in the representation to cause more detail to be presented with respect to individual events corresponding to specific values in the subset. Thus, clients can use their knowledge system operations and observance of value frequencies and underlying events to identify anomalous metric values and potential security threats.

公开(公告)号：US20180351983A1

公开(公告)日：2018-12-06

申请号：US16100147

申请日：2018-08-09

Applicant: SPLUNK INC.

Inventor： Munawar Monzy Merza ,  John Coates ,  James M Hansen ,  Lucas Murphey ,  David Hazekamp ,  Michael Kinsely ,  Alexander Raitz

IPC: H04L29/06 ,  G06F21/55 ,  G06F17/30

CPC classification number: H04L63/1425 ,  G06F16/2477 ,  G06F21/552 ,  G06F2221/2151 ,  H04L63/1408 ,  H04L63/1416

Abstract: A metric value is determined for each event in a set of events that characterizes a computational communication or object. For example, a metric value could include a length of a URL or agent string in the event. A subset criterion is generated, such that metric values within the subset are relatively separated from a population's center (e.g., within a distribution tail). Application of the criterion to metric values produces a subset. A representation of the subset is presented in an interactive dashboard. The representation can include unique values in the subset and counts of corresponding event occurrences. Clients can select particular elements in the representation to cause more detail to be presented with respect to individual events corresponding to specific values in the subset. Thus, clients can use their knowledge system operations and observance of value frequencies and underlying events to identify anomalous metric values and potential security threats.