Detection of flooding of unwanted messages
US10587627B1 · kind B1 · utility
1Cited by
1References
19Claims
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Assignee
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Key dates
| Filing date | Aug 27, 2019 |
| Grant date | Mar 10, 2020 |
| Priority date | — |
| Expiry date | Aug 27, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/52
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Application of streaming machine learning clustering algorithms enables finding clusters of messages (P2P text messages, WHATSAPP, tweets) sharing the same content. Such clusters may be analyzed for finding out offensive messages, unwanted or spam messages, and rumors and take corrective actions as needed. The solution enables visualization of data and/or messages and identification of clusters as the solution works on the data and aggregates data into clusters over time intervals. Corrective actions may be applied on selected clusters based on visualized data clusters or by automated application of defined rules.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.