Predictive modeling of domain names using web-linking characteristics
US10778702B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2018 |
| Grant date | Sep 15, 2020 |
| Priority date | — |
| Expiry date | Nov 21, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1483
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method evaluates whether a web domain is malicious. The method forms a feature vector, including data from web crawling. The features may include: whether the domain is cached from web crawling; the number of unique publicly accessible URIs hosted on the domain; the number of backlinks referencing the domain; the number of unique domain names in referring backlinks; the number of unique IP addresses in the referring backlinks; the number of unique IP address groups in the referring backlinks; and the proportion of hyperlinks to the domain from popular websites. For multiple classifiers, the method computes a probability that the domain is malicious. Each classifier is a decision tree constructed according to a subset of features and a subset of sample feature vectors. The method combines the individual probabilities to form an overall probability and returns the computed overall probability to the client.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.