AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

Lightweight cryptography is a novel diversion from conventional cryptography to minimise its
high level of resource requirements, thus it would impeccably fit in the internet-of-things (IoT) …

With increasing expansion of the Internet of Things, embedded devices equipped with
cryptographic modules become an important factor to protect sensitive data. Even though …

In this work, we ask a question whether Convolutional Neural Networks are more suitable for
side-channel attacks than some other machine learning techniques and if yes, in what …

In the profiled side-channel analysis, deep learning-based techniques proved to be very
successful even when attacking targets protected with countermeasures. Still, there is no …

Abstract The Internet of Things is a resource-constrained device that demands lightweight
cryptographic solutions to achieve high performance and optimal security. In lightweight …

In the last decade, machine learning-based side-channel attacks have become a standard
option when investigating profiling side-channel attacks. At the same time, the previous state …

Profiled side-channel attacks represent a practical threat to digital devices, thereby having
the potential to disrupt the foundation of e-commerce, the Internet of Things (IoT), and smart …

Existing power analysis techniques rely on strong adversary models with prior knowledge of
the leakage or training data. We introduce side-channel analysis with unsupervised learning …

Side-channel attacks represent one of the most powerful categories of attacks on
cryptographic devices with profiled attacks in a prominent place as the most powerful among …