Quantile regression analysis method for detecting cyber attacks
US12003531B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 5, 2023 |
| Grant date | Jun 4, 2024 |
| Priority date | — |
| Expiry date | Apr 5, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1433
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system and method for detecting cyber-attacks using quantile regression analysis are disclosed. The method includes: identifying at least one hit quantile out of a plurality of quantiles, wherein the at least one identified hit quantile falls within quantile edges of a sample of traffic directed at a protected entity, wherein each of the plurality of quantiles is characterized by a probability distribution of at least one feature of a data stream, each of the plurality of quantiles having a respective probability estimate; updating the probability estimates of the plurality of quantiles when the at least one hit quantile has been identified; and when the probability estimate of the at least one hit quantile is above a threshold, taking an action to mitigate existence of a cyber-attack.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.