Machine-learning based classification of user accounts based on email addresses and other account information

摘要

A trust level of an account is determined at least partly based on a degree of the memorability of an email address associated with the account. Additional features such as those based on the domain of the email address and those from the additional information such as name, phone number, and address associated with the account may also be used to determine the trust level of the account. A machine learning process may be used to learn a classification model based on one or more features that distinguish a malicious account from a benign account from training data. The classification model is used to determine a trust level of the account, and/or if the account is malicious or benign, and may be continuously improved by incrementally adapting or improving the model with new accounts.

主权项

1. A method performed by one or more processors configured with computer-executable instructions, the method comprising:
receiving an account associated with information including an email address; extracting one or more features from the information associated with the account, wherein at least one of the one or more features is based on memorability of the email address, the memorability relating to a pattern of symmetry, anti-symmetry, or uniformly distanced characters in the email address; and determining a trust level of the account at least partly based on the extracted features.