US 12,423,419 B2
System and method for determining types of anomalies while performing memory-less anomaly detection
Ofir Ezrielev, Be'er Sheva (IL)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jan. 20, 2023, as Appl. No. 18/157,271.
Prior Publication US 2024/0248982 A1, Jul. 25, 2024
Int. Cl. G06F 21/56 (2013.01); G06F 21/55 (2013.01); G06N 5/04 (2023.01); G06N 5/045 (2023.01)
CPC G06F 21/552 (2013.01) [G06N 5/045 (2013.01); G06F 2221/034 (2013.01)] 20 Claims
OG exemplary drawing
 
17. A data processing system, comprising:
a processor; and
a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations for processing data, the operations comprising:
obtaining an inference using an inference model and data obtained from a data collector, the inference being intended to match a set of fixed output values when the data is non-anomalous, and the inference comprising at least one dimension;
making a first determination, based on the inference, an anomaly level threshold, and a difference between a set of components of the inference and the set of fixed output values, regarding whether the data comprises anomalous data;
in a first instance of the first determination in which the data comprises anomalous data:
classifying the inference using a first schema to identify a type of anomaly presented by the data; and
performing an action set based on the type of anomaly to manage a potential impact of an occurrence of the type of anomaly.