GRAPH DATABASE ANALYSIS FOR NETWORK ANOMALY DETECTION SYSTEMS

Graph database analysis for network anomaly detection systems, in which a data analysis device receives multiple log data entries including parameters associated with a computer network event in a computing network. The data analysis device extracts one or more parameters in real-time and generates...

Full description

Saved in:
Bibliographic Details
Main Authors BURKETT, Robin Lynn, WENDT, Michael Evan, PATTERSON, Joshua, KRAUS, Keith, DIVALENTIN, Louis William
Format Patent
LanguageEnglish
French
German
Published 07.03.2018
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
Online AccessGet full text

Cover

More Information
Summary:Graph database analysis for network anomaly detection systems, in which a data analysis device receives multiple log data entries including parameters associated with a computer network event in a computing network. The data analysis device extracts one or more parameters in real-time and generates a network event graph based on at least one of a first graph metric or a second graph metric. The first and second graph metrics are based on the one or more extracted parameters. The data analysis device detects, based on queries performed on the network event graph, at least one of an anomalous event associated with the computing network or a malicious event associated with the computing network.
Bibliography:Application Number: EP20170188522