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SYSTEM AND METHOD FOR DETECTING ANOMALIES WITHIN AN AVIONICS AND VETRONICS NETWORK

InventionPending
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20Claims · 3 independent
§ Ⅰ

Dossier Overview

Inventor

John Allen; William Dalzell

IPC Classification

H4L 9/40

CPC Classification

H4L63/1416

A method for detecting and attributing the cause of anomalies within a cyber-physical system such as in avionics or vetronics network is disclosed. The method comprises monitoring, via at least one processor, data of one or more components within the avionics and vetronics network in real time; determining, via the at least one processor, one or more anomalies from the monitored data using a condition-based maintenance model and a cyber-defense model; determining, via the at least one processor, whether the one or more anomalies is related to a cascading fault using the condition-based maintenance model and the cyber-defense model; determining, via the at least one processor, the one or more anomalies corresponding to a component failure or an evidence of the cyberattack; and generating, via the at least one processor, one or more alerts for a user associated with the one or more anomalies.

Original (Chinese)

A method for detecting and attributing the cause of anomalies within a cyber-physical system such as in avionics or vetronics network is disclosed. The method comprises monitoring, via at least one processor, data of one or more components within the avionics and vetronics network in real time; determining, via the at least one processor, one or more anomalies from the monitored data using a condition-based maintenance model and a cyber-defense model; determining, via the at least one processor, whether the one or more anomalies is related to a cascading fault using the condition-based maintenance model and the cyber-defense model; determining, via the at least one processor, the one or more anomalies corresponding to a component failure or an evidence of the cyberattack; and generating, via the at least one processor, one or more alerts for a user associated with the one or more anomalies.

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