Sensitive cryptographic information, eg AES secret keys, can be extracted from the
electromagnetic (EM) leakages unintentionally emitted by a device using techniques such …

Abstract Singular Spectrum Analysis (SSA) is a powerful data decomposition/recompose
technique that can be used to reduce the noise in time series. Compared to existing …

Pre-silicon side-channel leakage assessment is a useful tool to identify hardware
vulnerabilities at design time, but it requires many high-resolution power traces and …

Electrical and capacitive mismatches are outstanding issues in modern submicron
technologies, and must be considered already during the design steps. In this work, we …

Chosen-Message Simple Power Analysis, also called Collision Based Attacks (CBA), have
been proposed by Fouque, Yen and Homma. These attacks aim at inducing and detecting …

Abstract If the Signal to Noise Ratio (SNR) is a figure of merit commonly used in many areas
to gauge the quality of analogue measurements, its use in the context of Side-Channel …

In this thesis we evaluate software-based hardware attacks, a novel attack family that targets
connected devices such as IoT products, smartphones or cloud datacenters. These attacks …

Nowadays, horizontal or single-shot side-channel attacks against protected implementations
of RSA and similar algorithms constitute a theoretic threat against secure devices …

The goal of the thesis is to develop and improve methods for defeating protected
cryptosystems. A new signal decompositionalgorithm, called Hilbert Huang Transform, was …

This paper introduces an estimator of the signal-to-noise ratio in the framework where a
noisy source emits the same signal a number n of times. The estimator has the structure of a …