TRAINING ARIMA TIME-SERIES MODELS UNDER FULLY HOMOMORPHIC ENCRYPTION USING APPROXIMATING POLYNOMIALS

TRAINING ARIMA TIME-SERIES MODELS UNDER FULLY HOMOMORPHIC ENCRYPTION USING APPROXIMATING POLYNOMIALS

An example system can include a processor to receive a ciphertext including a fully homomorphic encrypted (FHE) time series from a client device. The processor can train an ARIMA model on the ciphertext using an estimated error and approximating polynomials. The processor can generate an encrypted r...

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Bibliographische Detailangaben
Hauptverfasser: KUSHNIR, Eyal, AHARONI, Ehud, SOCEANU, Omri, ADIR, Allon, MASALHA, Ramy
Format: Patent
Sprache:eng
Schlagworte:
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Beschreibung
Zusammenfassung:An example system can include a processor to receive a ciphertext including a fully homomorphic encrypted (FHE) time series from a client device. The processor can train an ARIMA model on the ciphertext using an estimated error and approximating polynomials. The processor can generate an encrypted report and send the encrypted report to the client device.