Optimizing a malware detection model using hyperparameters
US10572823B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2016 |
| Grant date | Feb 25, 2020 |
| Priority date | — |
| Expiry date | May 15, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed computer-implemented method for malware remediation may include constructing a malware detection model by (i) identifying multiple candidate hyperparameter sets, (ii) selecting, from the candidate hyperparameter sets, a set of hyperparameters for the malware detection model that optimizes a tradeoff between model efficacy and model size, and (iii) training the malware detection model on a set of training samples to distinguish between malicious samples and clean samples. After constructing the malware detection model, the disclosed computer-implemented method may also include using the constructed malware detection model to perform a security action. Various other methods, systems, and computer-readable media are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.