Extracting dependencies between network assets using deep learning

Patent ID: 8801 | Patent Number 10,833,954 | Status: Granted

Abstract

A network analysis tool receives network flow information and uses deep learningmachine learning that models high-level abstractions in the network flow informationto identify dependencies between network assets. Based on the identified dependencies, the network analysis tool can discover functional relationships between network assets. For example, a network analysis tool receives network flow information, identifies dependencies between multiple network assets based on evaluation of the network flow information, and outputs results of the identification of the dependencies. When evaluating the network flow information, the network analysis tool can pre-process the network flow information to produce input vectors, use deep learning to extract patterns in the input vectors, and then determine dependencies based on the extracted patterns. The network analysis tool can repeat this process so as to update an assessment of the dependencies between network assets on a near real-time basis.

Application Number

14/548,159

Inventors

Oler,Kiri J
Edgar,Thomas W
Chikkagoudar,Satish
Johnson,Daniel M
Kangas,Lars J
Arthur-Durett,Kristine M
Carroll,Tom E

Market Sector

Data Sciences