US 11,861,453 B2
Network anomaly detection
James Peroulas, San Mateo, CA (US); Poojita Thukral, Mountain View, CA (US); Dutt Kalapatapu, Santa Clara, CA (US); Andreas Terzis, Mountain View, CA (US); and Krishna Sayana, Mountain View, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by GOOGLE LLC, Mountain View, CA (US)
Filed on Nov. 2, 2022, as Appl. No. 17/979,508.
Application 17/979,508 is a continuation of application No. 17/145,236, filed on Jan. 8, 2021, granted, now 11,507,837.
Application 17/145,236 is a continuation of application No. 16/397,082, filed on Apr. 29, 2019, granted, now 10,891,546, issued on Jan. 12, 2021.
Prior Publication US 2023/0054625 A1, Feb. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 3/08 (2023.01); H04W 24/08 (2009.01); H04W 84/04 (2009.01)
CPC G06N 3/08 (2013.01) [H04W 24/08 (2013.01); H04W 84/042 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
extracting one or more first features and an actual label from a first network control message collected from a network;
predicting a predicted label for a second network control message collected from the network based on one or more second features extracted from the second network control message, the one or more second features being input to a predictive model that is trained based on the one or more first features and the actual label; and
detecting a network anomaly of the network based on the predicted label.