Security threat detection based o patterns in machine data events
AssigneeSplunk Inc.
InventorsMunawar Monzy Merza, John Coates, James M Hansen, Lucas Murphey, David Hazekamp, Michael Kinsley, Alexander Raitz
Life of this patent
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AssigneeSplunk Inc.
InventorsMunawar Monzy Merza, John Coates, James M Hansen, Lucas Murphey, David Hazekamp, Michael Kinsley, Alexander Raitz
Estimating the term…
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.
A method comprising:
One or more non-transitory computer-readable storage media storing instructions, execution of which by a processor in a processing system causes performance of operations comprising:
An apparatus comprising:
Dependencies are inferred from the claim text.