Using machine learning for classification of benign and malicious webpages
US10104113B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2016 |
| Grant date | Oct 16, 2018 |
| Priority date | — |
| Expiry date | Dec 28, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/168
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In an embodiment, a data processing method providing an improvement in computer security, comprises selecting a uniform resource location (URL) for classification wherein the selected URL is associated with a webpage; determining a URL risk score for the selected URL; comparing the URL risk score to a URL risk threshold; in response to determining that the URL risk score exceeds the URL risk threshold, determining a maliciousness risk score for the webpage content associated with the selected URL; comparing the maliciousness risk score to a maliciousness risk threshold; and classifying the URL based on the comparison between the maliciousness risk score and the maliciousness risk threshold; in response to determining that the maliciousness risk score exceeds the maliciousness risk threshold, classifying the URL as malicious; in response to determining that the maliciousness risk score does not exceed the maliciousness risk threshold, classifying the URL as benign.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.