Radware has patented a system and method for detecting cyber-attacks using quantile regression analysis. The method involves identifying hit quantiles in traffic data, updating probability estimates, and taking action when a cyber-attack is detected. GlobalData’s report on Radware gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Radware, Automation system authentication was a key innovation area identified from patents. Radware's grant share as of May 2024 was 36%. Grant share is based on the ratio of number of grants to total number of patents.

Cyber-attack detection using quantile regression analysis

Source: United States Patent and Trademark Office (USPTO). Credit: Radware Ltd

A recently granted patent (Publication Number: US12003531B2) outlines a method for detecting cyber-attacks through a sophisticated process. The method involves identifying specific quantiles within a sample of traffic directed at a protected entity, updating probability estimates for these quantiles, and taking action to mitigate cyber-attacks when the probability estimate surpasses a set threshold. The data stream is segmented into quantiles based on certain features, such as Internet Protocol (IP) addresses and bandwidth attributes, ensuring a consistent probability distribution across intervals.

Furthermore, the patent details the characterization of attackers by generating a list of suspected IP addresses contributing to increased bandwidth during cyber-attacks. The system is designed to adapt during peacetime by updating quantile edges and setting thresholds based on detectable attack intensity factors. By utilizing a combination of probability estimates, feature segmentation, and real-time monitoring, this method offers a comprehensive approach to cyber-attack detection and mitigation, enhancing cybersecurity measures for protected entities.

To know more about GlobalData’s detailed insights on Radware, buy the report here.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.