Detection of phishing campaigns based on deep learning network detection of phishing exfiltration communications
US11303674B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 14, 2019 |
| Grant date | Apr 12, 2022 |
| Priority date | — |
| Expiry date | Aug 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Mechanisms are provided to detect phishing exfiltration communications. The mechanisms receive an input electronic communication from a data network and process the input electronic communication to extract a structure token that represents the content structure of the input electronic communication. The structure token is input to a machine learning model that is trained to identify phishing exfiltration communication grammars, and relationships between phishing exfiltration communication grammars, in structure tokens. The machine learning model processes the structure token to generate a vector output indicating computed values for processing by classification logic. The classification logic processes the vector output from the machine learning model to classify the input electronic communication as either a phishing exfiltration communication or a non-phishing exfiltration communication, and outputs a corresponding classification output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.