scholarly journals Side-channel issues for designing secure hardware implementations

2005 ◽  
Author(s):  
L. Batina ◽  
N. Mentens ◽  
I. Verbauwhede
Keyword(s):  
Side Channel ◽  
Hardware Implementations ◽  
Secure Hardware

Power Side-Channel Analysis of RNS GLV ECC Using Machine and Deep Learning Algorithms

2021 ◽  
Vol 21 (3) ◽  
pp. 1-20
Author(s):  
Mohamad Ali Mehrabi ◽  
Naila Mukhtar ◽  
Alireza Jolfaei
Keyword(s):  
Deep Learning ◽  
Elliptic Curve ◽  
Smart Cities ◽  
Information Leakage ◽  
Side Channel ◽  
Side Channel Attacks ◽  
Public Key Cryptosystems ◽  
Elliptic Curve Cryptosystems ◽  
Hardware Implementations ◽  
Substantial Progress

Many Internet of Things applications in smart cities use elliptic-curve cryptosystems due to their efficiency compared to other well-known public-key cryptosystems such as RSA. One of the important components of an elliptic-curve-based cryptosystem is the elliptic-curve point multiplication which has been shown to be vulnerable to various types of side-channel attacks. Recently, substantial progress has been made in applying deep learning to side-channel attacks. Conceptually, the idea is to monitor a core while it is running encryption for information leakage of a certain kind, for example, power consumption. The knowledge of the underlying encryption algorithm can be used to train a model to recognise the key used for encryption. The model is then applied to traces gathered from the crypto core in order to recover the encryption key. In this article, we propose an RNS GLV elliptic curve cryptography core which is immune to machine learning and deep learning based side-channel attacks. The experimental analysis confirms the proposed crypto core does not leak any information about the private key and therefore it is suitable for hardware implementations.

scholarly journals A Compact Coprocessor for the Elliptic Curve Point Multiplication over Gaussian Integers

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2050
Author(s):  
Malek Safieh ◽  
Johann-Philipp Thiers ◽  
Jürgen Freudenberger
Keyword(s):  
Elliptic Curve ◽  
Modular Arithmetic ◽  
Complex Numbers ◽  
Gaussian Integer ◽  
Gaussian Integers ◽  
Point Multiplication ◽  
Hardware Implementations ◽  
Secure Hardware ◽  
Prime Fields ◽  
High Flexibility

This work presents a new concept to implement the elliptic curve point multiplication (PM). This computation is based on a new modular arithmetic over Gaussian integer fields. Gaussian integers are a subset of the complex numbers such that the real and imaginary parts are integers. Since Gaussian integer fields are isomorphic to prime fields, this arithmetic is suitable for many elliptic curves. Representing the key by a Gaussian integer expansion is beneficial to reduce the computational complexity and the memory requirements of secure hardware implementations, which are robust against attacks. Furthermore, an area-efficient coprocessor design is proposed with an arithmetic unit that enables Montgomery modular arithmetic over Gaussian integers. The proposed architecture and the new arithmetic provide high flexibility, i.e., binary and non-binary key expansions as well as protected and unprotected PM calculations are supported. The proposed coprocessor is a competitive solution for a compact ECC processor suitable for applications in small embedded systems.

Ascon hardware implementations and side-channel evaluation

2017 ◽  
Vol 52 ◽  
pp. 470-479 ◽  
Author(s):  
Hannes Gross ◽  
Erich Wenger ◽  
Christoph Dobraunig ◽  
Christoph Ehrenhöfer
Keyword(s):  
Side Channel ◽  
Hardware Implementations

Deep learning side-channel attack against hardware implementations of AES

2020 ◽  
pp. 103383
Author(s):  
Takaya Kubota ◽  
Kota Yoshida ◽  
Mitsuru Shiozaki ◽  
Takeshi Fujino
Keyword(s):  
Deep Learning ◽  
Side Channel ◽  
Side Channel Attack ◽  
Hardware Implementations

A Resource-Efficient and Side-Channel Secure Hardware Implementation of Ring-LWE Cryptographic Processor

2019 ◽  
Vol 66 (4) ◽  
pp. 1474-1483 ◽  
Author(s):  
Dongsheng Liu ◽  
Cong Zhang ◽  
Hui Lin ◽  
Yuyang Chen ◽  
Mingyu Zhang
Keyword(s):  
Hardware Implementation ◽  
Side Channel ◽  
Secure Hardware
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