Method and system for training a big data machine to defend
US9904893B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2016 |
| Grant date | Feb 27, 2018 |
| Priority date | — |
| Expiry date | Dec 16, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2463/102
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are a method and system for training a big data machine to defend, retrieve log lines belonging to log line parameters of a system's data source and from incoming data traffic, compute features from the log lines, apply an adaptive rules model with identified threat labels produce a features matrix, identify statistical outliers from execution of statistical outlier detection methods, and may generate an outlier scores matrix. Embodiments may combine a top scores model and a probability model to create a single top scores vector. The single top scores vector and the adaptive rules model may be displayed on a GUI for labeling of malicious or non-malicious scores. Labeled output may be transformed into a labeled features matrix to create a supervised learning module for detecting new threats in real time and reducing the time elapsed between threat detection of the enterprise or e-commerce system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.