Techniques for malicious entity discovery
US12294590B2 · kind B2 · utility
Inventor
Key dates
| Filing date | Jun 28, 2022 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Apr 23, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1458
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and devices for access management are described. A software platform may identify devices of a botnet based on a cluster score associated with a device characteristic. For example, the software platform may receive a request from a device to access an application. The software platform may determine a cluster score for the characteristic of the device. The cluster score may be based on a link between the device and a list of devices (e.g., devices of a botnet). If the cluster score satisfies (e.g., exceeds) a cluster score threshold, the software platform may deny the access request. In some examples, the cluster score may be determined using machine learning techniques. Based on determining the cluster score, the software platform may efficiently identify devices of the botnet and prevent brute force attacks, which may improve reliability of access for users of the application.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.