Radware had 14 patents in cybersecurity during Q2 2024. Radware Ltd has developed methods and systems for detecting and mitigating various types of cyber-attacks, including application layer flood DDoS attacks and HTTPS flood cyber-attacks. These methods involve analyzing traffic patterns, identifying anomalies, and challenging suspect devices to determine if they are attack tools. By generating dynamic applicative signatures and characterizing requests, Radware’s technology can effectively detect and respond to ongoing DDoS attacks at the application layer. 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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Radware had no grants in cybersecurity as a theme in Q2 2024.
Recent Patents
Application: Techniques for detecting advanced application layer flood attack tools (Patent ID: US20240171607A1)
The patent filed by Radware Ltd. describes a method and system for detecting application layer flood denial-of-service (DDoS) attacks carried out by attackers using advanced application layer flood attack tools. The method involves processing application-layer transactions to detect anomalies in traffic directed towards a protected entity, determining rate-based and rate-invariant anomalies based on Application Attributes (AppAttributes), and taking mitigation actions when an application layer flood DDoS attack is detected. The system includes a processing circuitry and memory to execute the process, compute rate-based parameters, buffer AppAttributes, and determine attack proximity to identify DDoS attacks.
The method and system outlined in the patent focus on analyzing application-layer transactions to identify anomalies indicative of DDoS attacks, utilizing AppAttributes to model the behavior of the protected entity. By continuously updating baselines and comparing anomalies, the system can effectively detect and mitigate application layer flood DDoS attacks. The patent also details the computation of rate-based parameters, buffering mechanisms for AppAttributes, and determining attack proximity using distribution density functions. Additionally, the system can generate alerts, determine end-of-attack conditions, and adjust sampling rates based on the type of transactions to enhance detection capabilities during both peace time and attack scenarios.
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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.
