Adversarial training for malicious protocol data unit detection with field value perturbations
US12425433B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 6, 2023 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Jan 14, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1466
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A modular adversarial training data generator (“generator”) generates adversarial training data for a machine learning (ML) model to detect malicious protocol data units (PDUs). The adversarial training data mimics high volume cyberattacks by perturbing PDUs to bypass malicious detection systems. For Hypertext Transfer Protocol (HTTP) PDUs, the generator rearranged, replaces, and grid searches values of HTTP header fields to generate the adversarial training data. The generator further biases grid search based on metrics for values of HTTP header fields that quantify impact of replacing the values on malicious verdicts by ML models trained on the adversarial training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.