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Providing Conditions for Spike in Number of Occurrences

documentation.securonix.com · 26 words · saved by 1 readers

The Spike in Number of Occurrences algorithm detects unusual spikes in the number of events from established baselines for one user or across all users. For example, the number of files downloaded by a user in a day is 10x higher than the number of files they normally download per day. This algorithm leverages a minimum and maximum clustering algorithm to identify a baseline within a specified time window in terms of the total frequency of occurrences for an entity and detects a deviation from that baseline. Every value of a feature selected for behavior generation involves a new behavior profile generated for that value. This algorithm leverages a minimum and maximum clustering algorithm to identify a baseline within a specified time window in terms of the total frequency (number) of occurrences for an entity and detects a deviation from that baseline. This algorithm expects a numeric value as well as a string to baseline events. Selectthe features that will generate a new behavior pr

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