Automatic graph-based detection of potential security threats
US11928207B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 5, 2021 |
| Grant date | Mar 12, 2024 |
| Priority date | — |
| Expiry date | Sep 7, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/034
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described herein that are capable of performing automatic graph-based detection of potential security threats. A Bayesian network is initialized using an association graph to establish connections among network nodes in the Bayesian network. The network nodes are grouped among clusters that correspond to respective intents. Patterns in the Bayesian network are identified. At least one redundant connection, which is redundant with regard to one or more other connections, is removed from the patterns. Scores are assigned to the respective patterns in the Bayesian network, based on knowledge of historical patterns and historical security threats, such that each score indicates a likelihood of the respective pattern to indicate a security threat. An output graph is automatically generated. The output graph includes each pattern that has a score that is greater than or equal to a score threshold. Each pattern in the output graph represents a potential security threat.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.