Systems and methods for detection of anomalous network behavior
US9565203B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 13, 2014 |
| Grant date | Feb 7, 2017 |
| Priority date | — |
| Expiry date | Mar 2, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1425
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
There is provided a computer implemented method for detecting anomalous behavior in a network, comprising: receiving data representing at least one network activity, each network activity representing a certain data access event involving certain network entities; extracting from the data the certain network entities involved in the respective network activity; retrieving at least one relevant diversity value from a network behavior model based on the extracted certain network entities, wherein the network behavior model includes at least one diversity value, wherein each respective diversity value represents a certain relationship between at least one network entity and at least one network entity type; calculating an abnormality score for the received network activity based on the retrieved relevant diversity values; and classifying the network activity as anomalous or normal based on the calculated abnormality score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.