Towards Private Deep Learning-Based Side-Channel Analysis using Homomorphic Encryption: Opportunities and Limitations

Fabian Schmid; Christian Rechberger; Shibam Mukherjee; Marc Stöttinger; Stjepan Picek; Fabrizio De Santis

Towards Private Deep Learning-Based Side-Channel Analysis using Homomorphic Encryption: Opportunities and Limitations

Fabian Schmid^*, Christian Rechberger, Shibam Mukherjee, Marc Stöttinger, Stjepan Picek, Fabrizio De Santis

^*Corresponding author for this work

Institute of Applied Information Processing and Communications (7050)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

This work investigates using Homomorphic Encryption (HE) to assist the security evaluation of cryptographic devices without revealing side-channel information. For the first time, we evaluate the feasibility of executing deep learning-based side-channel analysis on standard server equipment using an adapted HE protocol. By examining accuracy and execution time, it demonstrates the successful application of private SCA on both unprotected and protected cryptographic implementations. This contribution is a first step towards confidential side-channel analysis. Our study is limited to the honest-but-curious trust model, where we could reconstruct the secret of an unprotected AES implementation in seconds and of a masked AES implementation in under 17 minutes.

Translated title of the contribution	Private Deep Learning-basierte Seitenkanalanalyse mit homomorpher Verschlüsselung: Möglichkeiten und Grenzen
Original language	English
Title of host publication	Constructive Side-Channel Analysis and Secure Design
Publisher	Springer
Publication status	Accepted/In press - 31 Jan 2024
Event	15th International Workshop on Constructive Side-Channel Analysis and Secure Design: COSADE 2024 - 880, route de Mimet, Gardanne, France Duration: 8 Apr 2024 → 10 Apr 2024 https://www.cosade.org/cosade24/program.html

Conference

Conference	15th International Workshop on Constructive Side-Channel Analysis and Secure Design
Abbreviated title	COSADE 2024
Country/Territory	France
City	Gardanne
Period	8/04/24 → 10/04/24
Internet address	https://www.cosade.org/cosade24/program.html

Keywords

Homomorphic Encryption
Neural Networks
Side-Channel Analysis

COSADE 2024
Fabian Schmid (Speaker)
10 Apr 2024
Activity: Talk or presentation › Talk at conference or symposium › Science to science

Cite this

Schmid, F , Rechberger, C , Mukherjee, S, Stöttinger, M, Picek, S & De Santis, F 2024, Towards Private Deep Learning-Based Side-Channel Analysis using Homomorphic Encryption: Opportunities and Limitations. in Constructive Side-Channel Analysis and Secure Design . Springer, 15th International Workshop on Constructive Side-Channel Analysis and Secure Design, Gardanne, France, 8/04/24.

@inproceedings{1f5e62f8b2cb407e9e75d28134276179,

title = "Towards Private Deep Learning-Based Side-Channel Analysis using Homomorphic Encryption: Opportunities and Limitations",

abstract = "This work investigates using Homomorphic Encryption (HE) to assist the security evaluation of cryptographic devices without revealing side-channel information. For the first time, we evaluate the feasibility of executing deep learning-based side-channel analysis on standard server equipment using an adapted HE protocol. By examining accuracy and execution time, it demonstrates the successful application of private SCA on both unprotected and protected cryptographic implementations. This contribution is a first step towards confidential side-channel analysis. Our study is limited to the honest-but-curious trust model, where we could reconstruct the secret of an unprotected AES implementation in seconds and of a masked AES implementation in under 17 minutes.",

keywords = "Homomorphic Encryption, Neural Networks, Side-Channel Analysis, Homomorphic Encryption, Neural Networks, Side-Channel Analysis",

author = "Fabian Schmid and Christian Rechberger and Shibam Mukherjee and Marc St{\"o}ttinger and Stjepan Picek and {De Santis}, Fabrizio",

year = "2024",

month = jan,

day = "31",

language = "English",

booktitle = "Constructive Side-Channel Analysis and Secure Design",

publisher = "Springer",

note = "15th International Workshop on Constructive Side-Channel Analysis and Secure Design : COSADE 2024, COSADE 2024 ; Conference date: 08-04-2024 Through 10-04-2024",

url = "https://www.cosade.org/cosade24/program.html",

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AU - Schmid, Fabian

AU - Rechberger, Christian

AU - Mukherjee, Shibam

AU - Stöttinger, Marc

AU - Picek, Stjepan

AU - De Santis, Fabrizio

PY - 2024/1/31

Y1 - 2024/1/31

N2 - This work investigates using Homomorphic Encryption (HE) to assist the security evaluation of cryptographic devices without revealing side-channel information. For the first time, we evaluate the feasibility of executing deep learning-based side-channel analysis on standard server equipment using an adapted HE protocol. By examining accuracy and execution time, it demonstrates the successful application of private SCA on both unprotected and protected cryptographic implementations. This contribution is a first step towards confidential side-channel analysis. Our study is limited to the honest-but-curious trust model, where we could reconstruct the secret of an unprotected AES implementation in seconds and of a masked AES implementation in under 17 minutes.

AB - This work investigates using Homomorphic Encryption (HE) to assist the security evaluation of cryptographic devices without revealing side-channel information. For the first time, we evaluate the feasibility of executing deep learning-based side-channel analysis on standard server equipment using an adapted HE protocol. By examining accuracy and execution time, it demonstrates the successful application of private SCA on both unprotected and protected cryptographic implementations. This contribution is a first step towards confidential side-channel analysis. Our study is limited to the honest-but-curious trust model, where we could reconstruct the secret of an unprotected AES implementation in seconds and of a masked AES implementation in under 17 minutes.

KW - Homomorphic Encryption

KW - Neural Networks

KW - Side-Channel Analysis

KW - Homomorphic Encryption

KW - Neural Networks

KW - Side-Channel Analysis

M3 - Conference paper

BT - Constructive Side-Channel Analysis and Secure Design

PB - Springer

Y2 - 8 April 2024 through 10 April 2024

ER -

Towards Private Deep Learning-Based Side-Channel Analysis using Homomorphic Encryption: Opportunities and Limitations

Abstract

Conference

Keywords

Fingerprint

Activities

COSADE 2024

Cite this