Precomputed similarity index of files in data protection systems with neural network
US11507770B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 1, 2020 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Mar 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system and method that provides a data protection risk assessment for the overall functioning of a backup and recovery system. Accordingly, the system may provide a single overall risk assessment score that provide an operator with an “at-a-glance” overview of the entire system. Moreover, the system may account for changes that occur over time based on leveraging statistical methods to automatically generate assessment scores for various components (e.g. application, server, network, load, etc.). In order to determine a risk assessment score, the system may utilize a predictive model based on historical data. Accordingly, residual values for newly observed data may be determined using the predictive model and the system may identify potentially anomalous or high risk indicators.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.