NETWORK ANOMALY DETECTION

Patent №

US 10,009,366

Granted

2018-06-26

Filed 2017

Owner

ACCENTURE GLOBAL SERVICES LIMITED

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15647979

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining network related anomaly scores. One of the methods includes generating a network map including at least a plurality of network nodes and a plurality of edges that indicate communications paths between the plurality of network nodes, obtaining first data indicating network activity over the edges and between the plurality of network nodes for a first time period, generating a model of expected network activity over the edges and between the plurality of network nodes for a future time period using the network map and the first data, obtaining second data indicating network activity over the edges and between the plurality of network nodes for a second time period, and determining an anomaly score using a comparison between the second data and the model of expected network activity.

Machine learningPlanningAI hardwareH04L 63/1425H04L 43/04H04L 43/0888H04L 43/0894H04W 12/08G06F 21/566H04L 41/22H04L 63/1466

AI classification

Planning1.00
AI hardware0.93
Machine learning0.64
Knowledge representation0.10
Natural language0.01
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

ACCENTURE GLOBAL SERVICES LIMITED

assignment · 453620073

Assignors

LEFEBVRE, MICHAEL L., CARVER, MATTHEW, ELLETT, ERIC A., NEGM, WALID, DIVALENTIN, LOUIS WILLIAM, SOLDERITSCH, JAMES J.

On an employer assignment, the assignors are typically the inventors.

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