Computer-implemented process and system employing outlier score detection for identifying and detecting scenario-specific data elements from a dynamic data source
US10264027B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2017 |
| Grant date | Apr 16, 2019 |
| Priority date | — |
| Expiry date | Jul 28, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2463/102
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods and apparatuses employing outlier score detection method and apparatus for identifying and detecting threats to an enterprise or e-commerce system are disclosed, including grouping log lines belonging to one or more log line parameters from one or more enterprise or e-commerce system data sources and/or from incoming data traffic to the enterprise or e-commerce system; extracting one or more features from the grouped log lines into one or more features tables; using one or more statistical models on the one or more features tables to identify statistical outliers; using the one or more features tables to create one or more rules for identifying threats to the enterprise or e-commerce system; and using the one or more rules on incoming enterprise or e-commerce system data traffic to detect threats to the enterprise or e-commerce system. Other embodiments are described and claimed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.