Radware has been granted a patent for a method that detects cyber-attacks using quantile regression analysis. The method involves identifying hit quantiles from traffic data, updating their probability estimates, and initiating mitigation actions when these estimates exceed a specified threshold. GlobalData’s report on Radware gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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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 June 2024 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Cyber-attack detection using quantile regression analysis
The granted patent US12003531B2 outlines a method and system for detecting cyber-attacks by utilizing a quantile-based approach to analyze traffic directed at a protected entity. The method involves identifying at least one "hit quantile" from a set of quantiles, each characterized by a probability distribution of specific features within a data stream. When a hit quantile is identified, the probability estimates for the quantiles are updated. If the probability estimate for the hit quantile exceeds a predetermined threshold, the system initiates actions to mitigate the potential cyber-attack. The quantiles are defined based on features such as Internet Protocol (IP) addresses and bandwidth attributes, ensuring that the data stream is effectively monitored for anomalies.
Additionally, the patent describes mechanisms for updating probability estimates, characterizing potential attackers, and adjusting quantile edges during non-attack periods. The system is designed to maintain a historical probability buffer and can generate a list of suspected IP addresses contributing to increased bandwidth during an attack. By setting thresholds based on detectable attack intensity factors, the system enhances its ability to respond to cyber threats in real-time. Overall, this patent presents a structured approach to cyber-attack detection, leveraging statistical methods to improve the security of networked systems.
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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.
