Detection of abnormal entities based on syntactic grouping of strings
US11477216B2 · kind B2 · utility
1Cited by
2References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | May 4, 2020 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Apr 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/90344
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Unauthorized use of user credentials in a network is detected. Data indicative of text strings being used to access resources in the network is accessed. Regex models are determined for the text strings. Groupings of the regex models are determined based on an optimization of a cumulative weighted function. A regex model having a cumulative weighted function that exceeds a predetermined threshold is identified. An alert is generated when the cumulative weighted function for the identified regex model exceeds the predetermined threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.