Uncertainty Analysis in Cryptographic Key Recovery for Machine Learning-Based Power Measurements Attacks-Reference-Cited by-同舟云学术

Uncertainty Analysis in Cryptographic Key Recovery for Machine Learning-Based Power Measurements Attacks

Published:2023 Issue: Volume:72 Page:1-8
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Arpaia Pasquale¹^ORCID,Caputo Francesco²^ORCID,Cioffi Antonella³^ORCID,Esposito Antonio⁴^ORCID,Isgrò Francesco⁴^ORCID

Affiliation:

1. Department of Electrical Engineering and Information Technology (DIETI), the Augmented Reality for Health Monitoring Laboratory (ARHeMLab), and the Centro Interdipartimentale di Ricerca in Management Sanitario e Innovazione in Sanità (CIRMIS), Università degli Studi di Napoli Federico II, Naples, Italy

2. Department of Electrical Engineering and Information Technology (DIETI), Università degli Studi di Napoli Federico II, Naples, Italy

3. STMicroelectronics, Marcianise, Italy

4. Department of Electrical Engineering and Information Technology (DIETI) and the Augmented Reality for Health Monitoring Laboratory (ARHeMLab), Università degli Studi di Napoli Federico II, Naples, Italy

Funder

MIUR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10149040.pdf?arnumber=10149040

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