Detecting anomalies in behavioral network with contextual side information
US9659085B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2012 |
| Grant date | May 23, 2017 |
| Priority date | — |
| Expiry date | Apr 24, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/335
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various technologies described herein pertain to detecting contextual anomalies in a behavioral network. Label propagation can be performed to construct contexts and assign respective context membership scores to users. Each context can be a respective subset of the users expected to have similar resource usages. The contexts can be constructed and the context membership scores can be assigned by combining behavioral information and contextual side information. The behavioral information can specify respective resource usages by the users within the behavioral network. Moreover, respective contextual anomaly scores for the users can be computed based on the respective context membership scores assigned to the users and the contextual side information. Further, the contextual anomalies can be detected from the contextual anomaly scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.