Patent Document ID: 9189746
Application ID: 13349306

Base Claim:
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.

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Claim 10:
10. The method as recited in claim 1 , wherein the determining the trust level of the account comprises: analyzing a plurality of labeled accounts from one or more sources, each of the plurality of labeled accounts indicating that a respective labeled account is malicious or benign; determining one or more features extracted from the plurality of accounts that distinguish a respective labeled account that is malicious and a respective labeled account that is benign; applying one or more machine learning methods to build a classification model based on the obtained one or more features; and using the classification model to calculate a score of the trust level of the account.