Detecting malicious network activity using time series payload data
US10547629B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Nov 5, 2017 |
| Grant date | Jan 28, 2020 |
| Priority date | — |
| Expiry date | Apr 27, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1466
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods and systems for detecting malicious network activity. The method may include analyzing payload data relating to activity on one or more virtual security appliances, grouping related payloads, and analyzing a time series dataset describing the groupings to identify anomalous payloads.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.