Host-Plattform für Neuronales Netzwerk zur Erkennung von Anomalien in Cybersicherheitsmodulen

Details

Veröffentlichungs-Nr.

EP3926539

Aktenzeichen

EP21176499

Anmeldetag

28. Mai 2021

Veröffentlichung

23. April 2025

Erteilung

23. April 2025

Rechtsraum

EP

IPC

H04L9/40G06V10/94G06V10/778

Abstract

Aspects of the disclosure relate to anomaly detection in cybersecurity training modules. A computing platform may receive (510) information defining a training module. The computing platform may capture (530) a plurality of screenshots corresponding to different permutations of the training module. The computing platform may input (540), into an auto-encoder, the plurality of screenshots corresponding to the different permutations of the training module, wherein inputting the plurality of screenshots corresponding to the different permutations of the training module causes the auto-encoder to output (545) a reconstruction error value. The computing platform may execute an outlier detection algorithm on the reconstruction error value, which may cause the computing platform to identify (550) an outlier permutation of the training module. The computing platform may generate (555) a user interface comprising information identifying the outlier permutation of the training module. The computing platform may send the user interface to at least one user device.

Anmelder

Firma

Proofpoint, Inc.

Land

🇺🇸 USA

Fachgebiete