System und Verfahren zur Energieeffizienten Anomaliedetektion an Bord eines Satelliten mittels Verstärkungslernen (rl)

Details

Veröffentlichungs-Nr.

EP4787207

Anmeldetag

2. Februar 2026

Veröffentlichung

5. August 2026

Rechtsraum

EP

Abstract

An RL-based framework for energy efficient onboard anomaly detection of a satellite moving in a predetermined orbit, comprising a repository of pre-trained anomaly detection models, trained on a specific subset of samples, or rule-based detectors; onboard sensors for continuously monitoring the satellite systems and data network and the onboard collected data; an RL-based agent for deciding which model to activate each time and what features to monitor via a subset of sensors, according to the location, cyber vulnerability level, previous anomalous activity, functions to be executed and energy state of the battery of the satellite, to achieve in each state the highest performance of each anomaly detection task, while investing the lowest amount of energy possible; means for providing alerts in the event of a detected cyber-attack.

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Firma

Deutsche Telekom AG

Land

🇩🇪 Deutschland