Akamai Technologies. has filed a patent for a method to protect online systems from fraudulent account registrations. By encoding data and using a Graph Neural Network, the system can determine the probability of fraud and take mitigation actions if necessary. GlobalData’s report on Akamai Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Akamai Technologies, Automation system authentication was a key innovation area identified from patents. Akamai Technologies's grant share as of January 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.

Fraud detection system for online account registrations

Source: United States Patent and Trademark Office (USPTO). Credit: Akamai Technologies Inc

The patent application (Publication Number: US20240022593A1) describes a method and apparatus for protecting an online system by detecting fraudulent account registrations in real-time. The method involves receiving data associated with a new account registration, such as email and IP address, encoding this data to generate an encoded node vector, and using it to create a virtual graph. This virtual graph is then fed to a Graph Neural Network (GNN) to determine the probability of fraudulence, with mitigation actions taken if fraud is detected. The GNN includes a self-attention output layer, and the data set used for analysis includes the encoded node vector and its k-nearest neighbor encoded node vectors.

The apparatus for real-time protection of an online system includes one or more hardware processors and computer memory holding program code to execute the method described above. The program code encodes the email using a recursive neural network pre-trained on fraudulent registrations and encodes the IP address based on an identity of IP address bytes. The apparatus also includes a fixed size random access memory (RAM) block to store recent account registrations, with cyclic shifts performed to maintain a history of registrations. If fraud is detected, the program code rejects the attempt to register the new account as a mitigation action. Overall, the method and apparatus aim to enhance online security by efficiently detecting and preventing fraudulent account registrations.

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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.