Radware had three patents in cybersecurity during Q4 2023. Radware Ltd has developed a method and device for configuring a web application firewall (WAF) based on analyzing HTTP transactions to detect malicious activity. Additionally, they have created a method for securing data over a communication network by detecting and identifying malicious data sent via a router, generating a list of potential attackers, and creating attack signatures to block port scanning traffic. GlobalData’s report on Radware gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Radware grant share with cybersecurity as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Characterization of illegitimate web transactions (Patent ID: US20230396588A1)
The patent filed by Radware Ltd. describes a method and device for configuring a web application firewall (WAF) based on the analysis of web attacks. The method involves receiving HTTP entities, tokenizing them based on delimiters, analyzing the statistical distribution of the delimiters, training a model based on this analysis, and configuring the WAF with detection rules to identify malicious HTTP transactions. The trained model can differentiate between legitimate and illegitimate HTTP transactions, with illegitimate ones indicating attempted web attacks. The device includes processing circuitry and memory to execute the method, with the ability to determine delimiter frequency and distribution, analyze multiple delimiters, and take mitigation actions upon detecting malicious transactions.
The system is capable of providing web application and API protection by configuring the WAF to detect and respond to malicious HTTP transactions effectively. It utilizes supervised and unsupervised models to train and analyze HTTP entities, focusing on delimiters and statistical distributions to enhance detection capabilities. The device can tokenize HTTP entities, determine delimiter frequency, and provide HTTP entity profiles to the model for evaluation. Upon detecting malicious transactions, mitigation actions are performed to ensure the security of the web application. Overall, the method and device offer a comprehensive approach to configuring a WAF based on the characterization of web attacks, improving the ability to identify and respond to potential security threats effectively.
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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.
