Endpoint-based man in the middle attack detection using machine learning models
US9762611B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 15, 2016 |
| Grant date | Sep 12, 2017 |
| Priority date | — |
| Expiry date | Dec 15, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2101/622
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A first node of a networked computing environment initiates each of a plurality of different types of man-in-the middle (MITM) detection tests to determine whether communications between first and second nodes of a computing network are likely to have been subject to an interception or an attempted interception by a third node. Thereafter, it is determined, by the first node, that at least one of the tests indicate that the communications are likely to have been intercepted by a third node. Data is then provided, by the first node, data that characterizes the determination. In some cases, one or more of the MITM detection tests utilizes a machine learning model. Related apparatus, systems, techniques and articles are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.