Patent · US Active

Detection of clustering in graphs in network security analysis

US10003605B2 · kind B2 · utility

105Cited by

3References

30Claims

0Family size

Assignee

Splunk Inc. · US

Inventors

Sudhakar Muddu · Cupertino, US
Christos Tryfonas · Foster City, US

Key dates

Filing date	Oct 30, 2015
Grant date	Jun 19, 2018
Priority date	—
Expiry date	Aug 24, 2036

Classification

Technology area (CPC H)Electricity
CPC primaryH04L2463/121
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.