Simulation-Time Security Margin Assessment against Power-Based Side Channel Attacks

A sound design time evaluation of the security of a digital device is a goal which has attracted a great amount of research effort lately. Common security metrics for the attack consider either the theoretical leakage of the device, or assume as a security metric the number of measurements needed in order to be able to always recover the secret key. In this work we provide a combined security metric taking into account the computational effort needed to lead the attack, in combination with the quantity of measurements to be performed, and provide a practical lower bound for the security margin which can be employed by a secure hardware designer. This paper represents a first exploration of a design-time security metric incorporating the computational effort required to lead a power- based side channel attack in the security level assessment of the device. We take into account in our metric the possible presence of masking and hiding schemes, and we assume the best measurement conditions for the attacker, thus leading to a conservative estimate of the security of the device. We provide a practical validation of our security metric through an analysis of transistor-level accurate power simulations of a 128-bit AES core implemented on a 65 nm library

Principles and Applications of Data Science

Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media

Advances in Information Security and Privacy

With the recent pandemic emergency, many people are spending their days in smart working and have increased their use of digital resources for both work and entertainment. The result is that the amount of digital information handled online is dramatically increased, and we can observe a significant increase in the number of attacks, breaches, and hacks. This Special Issue aims to establish the state of the art in protecting information by mitigating information risks. This objective is reached by presenting both surveys on specific topics and original approaches and solutions to specific problems. In total, 16 papers have been published in this Special Issue

A pairing SW implementation for smart-cards

The aim of this work is to show the feasibility of the primitives of the identity based cryptosystems for applications in Smart-Cards. Several observations are applied to easily choose many supersingular elliptic curves over a prime field Fp; p > 3; p 3 mod 4, in such a way that the size of the torsion subgroup, the curve order and the finite field characteristic are of minimal Hamming weight. We modify the Chudnovsky elliptic curve point representation to settle a dedicated coordinate system for pairings and to minimize the number of operations in the finite field. The encouraging timing results obtained for ST22 Smart-Card architecture show the feasibility of pairing primitives for embedded devices