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    • 1. 发明授权
    • Key indicators view
    • US10574548B2
    • 2020-02-25
    • US13956338
    • 2013-07-31
    • Splunk, Inc.
    • John CoatesLucas MurpheyJames HansenDavid Hazekamp
    • H04L12/26H04L12/24
    • 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.
    • 4. 发明授权
    • Identifying possible security threats using event group summaries
    • 使用事件组摘要识别可能的安全威胁
    • US09596252B2
    • 2017-03-14
    • US15056999
    • 2016-02-29
    • Splunk Inc.
    • John CoatesLucas MurpheyDavid HazekampJames Hansen
    • G06F11/00H04L29/06G06F21/55
    • H04L63/1433G06F17/30598G06F21/554G06F2221/034G06F2221/2151H04L63/14H04L63/1408H04L63/1416H04L63/20
    • 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.
    • 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。
    • 6. 发明申请
    • INVESTIGATIVE AND DYNAMIC DETECTION OF POTENTIAL SECURITY-THREAT INDICATORS FROM EVENTS IN BIG DATA
    • 来自大数据事件的潜在安全威胁指标的调查和动态检测
    • US20130326620A1
    • 2013-12-05
    • US13956252
    • 2013-07-31
    • Splunk Inc.
    • Munawar Monzy MerzaJohn CoatesJames HansenLucas MurpheyDavid HazekampMichael KinsleyAlexander Raitz
    • H04L29/06
    • H04L63/1425G06F17/30551G06F21/552G06F2221/2151H04L63/1408H04L63/1416
    • 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.
    • 为表征计算通信或对象的一组事件中的每个事件确定度量值。 例如,度量值可以包括事件中的URL或代理字符串的长度。 生成子集标准,使得子集内的度量值与群体的中心(例如,分布尾部)相对分开。 将标准应用于度量值产生一个子集。 该子集的表示呈现在交互式仪表板中。 该表示可以包括子集中的唯一值和相应事件发生的计数。 客户端可以选择表示中的特定元素,以便相对于子集中的特定值对应的各个事件来呈现更多的细节。 因此,客户可以使用他们的知识系统操作和遵守价值频率和基础事件来识别异常度量值和潜在的安全威胁。