Method for Detecting Anomalies in a Control Network

Patent №

US 9,197,652

Granted

2015-11-24

Filed 2012

Owner

SIEMENS AKTIENGESELLSCHAFT

Lab

AI components

4

vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13497461

A method for monitoring and controlling, industrial or building automation to detect anomalies in a control network, wherein a technology of an intrusion detection system (IDS) is configured to analyze a time sequence and time intervals of correct messages in the network traffic and to use the messages to train an anomaly detection system. Detecting a time sequence and a rhythm of correct messages allows for the detection of malfunctions or manipulations of devices and attacks that are performed using regular monitoring or control stations that have been taken over by attackers or that are defect, and that cannot be detected using content-based methods or by a considerable increase of data traffic. An additional security barrier is thus provided that can continue monitoring and protecting a technical unit from possible acts of sabotage, even if the control network of the technical unit has already been corrupted.

VisionKnowledge representationPlanningAI hardwareH04L 63/1416G06N 20/00H04L 63/1408H04L 63/1425H04L 41/16H04L 43/0817H04L 63/1433

AI classification

Vision1.00
Planning1.00
AI hardware0.75
Knowledge representation0.51
Speech0.03
Evolutionary computation0.01
Machine learning0.01
Natural language0.00

Ownership

SIEMENS AKTIENGESELLSCHAFT

assignment · 279040053

Assignors

BUSSER, JENS-UWE, KASTNER, JAN, MUNZERT, MICHAEL, STORMANN, CHRISTOF

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

From the same owner

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