	US 12,192,222 B2
	Techniques for efficient network security for a web server using anomaly detection
Joshua Michael Johnston, Boise, ID (US); Matthew Lewis Jones, Boise, ID (US); Nathan Daniel Monnig, Boise, ID (US); and Divyanshu Rohit Murli, Boise, ID (US)
Assigned to Kount Inc., Boise, ID (US)
Filed by KOUNT INC., Boise, ID (US)
Filed on Apr. 17, 2023, as Appl. No. 18/301,862.
Application 18/301,862 is a continuation of application No. 17/754,854, granted, now 11,658,994, previously published as PCT/US2021/041640, filed on Jul. 14, 2021.
Claims priority of provisional application 63/063,126, filed on Aug. 7, 2020.
Prior Publication US 2023/0254333 A1, Aug. 10, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06F 21/55 (2013.01)

CPC H04L 63/1425 (2013.01) [H04L 63/1433 (2013.01); H04L 63/1458 (2013.01)]

20 Claims

1. A method comprising:

accessing transaction data describing network traffic associated with a web server during an interval;

determining a short-term trend for an online entity, based on a count of new transactions involving the online entity during the interval according to the transaction data;

applying exponential smoothing to a history of transactions of the online entity to compute a long-term moving trend for the online entity by computing an exponentially smoothed average of the count of transactions and an exponentially smoothed standard deviation of the count of transactions;

detecting that an anomaly exists with respect to the online entity in the network traffic associated with the web server, based on a comparison between the short-term trend and the long-term trend for the online entity; and

implementing an access control between the online entity and the web server responsive to detecting the anomaly.