Vectra AI has been granted a patent for an improved method to identify malicious payloads in network traffic. The system uses machine learning to analyze unique server and port combinations, extracting metadata and generating behavior models to detect potentially harmful payload exchanges. GlobalData’s report on Vectra AI gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Access deeper industry intelligence
Experience unmatched clarity with a single platform that combines unique data, AI, and human expertise.
According to GlobalData’s company profile on Vectra AI, IoT network security was a key innovation area identified from patents. Vectra AI'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.
Malicious payload identification system using machine learning
A recently granted patent (Publication Number: US11973768B2) outlines a system for implementing machine learning through unique server and port combinations within a network environment. The system includes a metadata processing element that extracts metadata from network traffic for client-server sessions, a learning module that generates behavior models for different server-port combinations, and an update module that refines these models based on new communications. The behavior models are created by comparing baseline patterns and updating them based on similarity scores calculated using a hamming distance metric.
Furthermore, the patent describes a method for implementing machine learning using communications over unique server and port combinations within a network environment. This method involves extracting metadata from network traffic, generating behavior models for server-port combinations, and updating these models based on new communications. The approach includes detecting communications that deviate from established behavior models, flagging them as potentially malicious, and generating alerts. The method emphasizes the importance of sequential equivalence in calculating the hamming distance and utilizes various metadata such as IP addresses, payload information, and communication duration to enhance the learning process.
To know more about GlobalData’s detailed insights on Vectra AI, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
