Machine learning-based generation of similar domain names

    公开(公告)号:US11586881B2

    公开(公告)日:2023-02-21

    申请号:US16799738

    申请日:2020-02-24

    Abstract: A method of generating receiving a valid domain name comprises evaluating a received valid domain name in a neural network trained to generate similar domain names, and providing an output comprising at least one domain name similar to the received valid domain name generated by the neural network. In a further example, a recurrent neural network is trained using valid domain names and observed malicious similar domain names and/or linguistic rules. In another example, the output of the recurrent neural network further comprises a similarity score reflecting a degree of similarity between the valid domain name and the similar domain name, such that the similarity score can be used to generate a ranked list of domain names similar to the valid domain name.

    MACHINE LEARNING-BASED GENERATION OF SIMILAR DOMAIN NAMES

    公开(公告)号:US20210264233A1

    公开(公告)日:2021-08-26

    申请号:US16799738

    申请日:2020-02-24

    Abstract: A method of generating receiving a valid domain name comprises evaluating a received valid domain name in a neural network trained to generate similar domain names, and providing an output comprising at least one domain name similar to the received valid domain name generated by the neural network. In a further example, a recurrent neural network is trained using valid domain names and observed malicious similar domain names and/or linguistic rules. In another example, the output of the recurrent neural network further comprises a similarity score reflecting a degree of similarity between the valid domain name and the similar domain name, such that the similarity score can be used to generate a ranked list of domain names similar to the valid domain name.

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