Invention Grant
- Patent Title: Quantile regression analysis method for detecting cyber attacks
-
Application No.: US18296227Application Date: 2023-04-05
-
Publication No.: US12003531B2Publication Date: 2024-06-04
- Inventor: Lev Medvedovsky , David Aviv
- Applicant: Radware Ltd.
- Applicant Address: IL Tel Aviv
- Assignee: Radware Ltd.
- Current Assignee: Radware Ltd.
- Current Assignee Address: IL Tel Aviv
- Agency: M&B IP Analysts, LLC
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06F17/18

Abstract:
A system and method for detecting cyber-attacks using quantile regression analysis are disclosed. The method includes: 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.
Public/Granted literature
- US20230254341A1 QUANTILE REGRESSION ANALYSIS METHOD FOR DETECTING CYBER ATTACKS Public/Granted day:2023-08-10
Information query