US 12,003,531 B2
Quantile regression analysis method for detecting cyber attacks
Lev Medvedovsky, Netanya (IL); and David Aviv, Tel Aviv (IL)
Assigned to Radware Ltd., Tel Aviv (IL)
Filed by Radware Ltd., Tel Aviv (IL)
Filed on Apr. 5, 2023, as Appl. No. 18/296,227.
Application 18/296,227 is a continuation of application No. 17/139,066, filed on Dec. 31, 2020, granted, now 11,652,843.
Prior Publication US 2023/0254341 A1, Aug. 10, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06F 17/18 (2006.01)
CPC H04L 63/1458 (2013.01) [G06F 17/18 (2013.01); H04L 63/1425 (2013.01); H04L 63/1433 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for detecting cyber-attacks, comprising:
identifying at least one hit quantile out of a plurality of quantiles, wherein the at least one identified hit quantile falls within quantile edges of a sample of traffic directed at a protected entity, wherein each of the plurality of quantiles is characterized by a probability distribution of at least one feature of a data stream, each of the plurality of quantiles having a respective probability estimate;
updating the probability estimates of the plurality of quantiles when the at least one hit quantile has been identified; and
when the probability estimate of the at least one hit quantile is above a threshold, taking an action to mitigate existence of a cyber-attack.