Systems and methods of detecting email-based attacks through machine learning
US10397272B1 · kind B1 · utility
52Cited by
2References
19Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Oct 23, 2018 |
| Grant date | Aug 27, 2019 |
| Priority date | — |
| Expiry date | Oct 23, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system including at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the at least one processor to: receive an email addressed to a user; separate the email into a plurality of email components; analyze, using respective machine-learning techniques, each of the plurality of email components; feed the analysis of each of the plurality of email components into a stacked ensemble analyzer; and based on an output of the stacked ensemble analyzer, determine whether the email is malicious.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.