Identifying evidence of attacks by analyzing log text
US10785243B1 · kind B1 · utility
4Cited by
1References
19Claims
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Key dates
| Filing date | Sep 28, 2018 |
| Grant date | Sep 22, 2020 |
| Priority date | — |
| Expiry date | Mar 29, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/145
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Log text is encoded into a low dimensional feature vector. A temporal predictive model is constructed based on the low dimensional feature vector. The temporal predictive model is used to calculate probabilities of the occurrence of security incidents based on signature names from the log text encoded in the low dimensional feature vector. A preventative security action is automatically taken in response to the calculated probability of the occurrence of a specific security incident exceeding a given threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.