Invention Grant
- Patent Title: System and method for detecting generated domain
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Application No.: US16220360Application Date: 2018-12-14
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Publication No.: US10764246B2Publication Date: 2020-09-01
- Inventor: Tao Huang , Shuaiji Li , Yinhong Chang , Fangfang Zhang , Zhiwei Qin
- Applicant: DiDi Research America, LLC
- Applicant Address: US CA Mountain View
- Assignee: DiDi Research America, LLC
- Current Assignee: DiDi Research America, LLC
- Current Assignee Address: US CA Mountain View
- Agency: Sheppard Mullin Richter & Hampton LLP
- Main IPC: H04L29/12
- IPC: H04L29/12 ; G06N20/20 ; G06N7/00 ; G06N3/02

Abstract:
A computer-implemented method for domain analysis comprises: obtaining, by a computing device, a domain; and inputting, by the computing device, the obtained domain to a trained detection model to determine if the obtained domain was generated by one or more domain generation algorithms. The detection model comprises a neural network model, a n-gram-based machine learning model, and an ensemble layer. Inputting the obtained domain to the detection model comprises inputting the obtained domain to each of the neural network model and the n-gram-based machine learning model. The neural network model and the n-gram-based machine learning model both output to the ensemble layer. The ensemble layer outputs a probability that the obtained domain was generated by the domain generation algorithms.
Public/Granted literature
- US20200059451A1 SYSTEM AND METHOD FOR DETECTING GENERATED DOMAIN Public/Granted day:2020-02-20
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