Automated behavioral and static analysis using an instrumented sandbox and machine learning classification for mobile security
US10762206B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 16, 2017 |
| Grant date | Sep 1, 2020 |
| Priority date | — |
| Expiry date | May 13, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1433
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method comprises, based on receiving a request to analyze at least a first mobile application, scheduling the request for a first sandbox. The first mobile application is analyzed based on the request, wherein the analysis of the first mobile application comprises performing a behavioral analysis of the first mobile application within the first sandbox and performing a static analysis of the first mobile application. A first feature vector is generated based on data resulting from the analysis of the first mobile application. The first mobile application is determined to comprise malware based, at least in part, on comparing the first feature vector with at least a second feature vector, wherein the second feature vector was generated based on at least one of a static analysis and a behavioral analysis of malware.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.