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

Template attacks recover data values processed by tamper-resistant devices from side-
channel waveforms, such as supply-current fluctuations (power analysis) or electromagnetic …

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 …

Abstract Evaluation of cryptographic implementations against profiled side-channel attacks
plays a fundamental role in security testing nowadays. Recently, deep neural networks and …

Recently, some wireless devices have been found vulnerable to a novel class of side-
channel attacks, called Screaming Channels. These leaks might appear if the sensitive …

Differential power analysis (DPA), as a very practical type of side-channel attacks, has been
widely studied and used for the security analysis of cryptographic implementations …

Deep learning-based side-channel analysis is rapidly positioning itself as a de-facto
standard for the most powerful profiling side-channel analysis. The results from the last few …

Existing side-channel analysis techniques require a leakage model, in the form of a prior
knowledge or a set of training data, to establish a relationship between the secret data and …

Template attacks and machine learning are two powerful methods in the field of side
channel attacks. In this paper, we aimed to contribute to the novel application of support …

Existing Side-Channel Attacks (SCAs) have several limitations and, rather than to be real
attack methods, can only be considered to be security evaluation methods. Their limitations …