Detecting malicious online activities using event stream processing over a graph database
US9967265B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2015 |
| Grant date | May 8, 2018 |
| Priority date | — |
| Expiry date | Sep 29, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/20
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Techniques of detecting malicious events involve generating a relational graph of event data describing events that occur within a specified, limited time window. Along these lines, a malicious event detection computer receives event data describing interactions between entities such as users, devices, and network domains from various servers that occur within a specified time window. In response, the malicious event detection computer generates a relational graph that has graph structures (e.g., nodes and edges) representing these interactions. Analysis of patterns within the resulting relational graph indicates whether there is a malicious event occurring.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.