The increasing prevalence of Internet of Things (IoT) devices has made it inevitable that their
pertinence to digital forensic investigations will increase into the foreseeable future. These …

Recent works have demonstrated that deep learning algorithms were efficient to conduct
security evaluations of embedded systems and had many advantages compared to the other …

Within the next few years, billions of IoT devices will densely populate our cities. In this
paper we describe a new type of threat in which adjacent IoT devices will infect each other …

Template attack is the most common and powerful profiled side channel attack. It relies on a
realistic assumption regarding the noise of the device under attack: the probability density …

This paper presents a new side channel that affects mixed-signal chips used in widespread
wireless communication protocols, such as Bluetooth and WiFi. This increasingly common …

Recently, several studies have been published on the application of deep learning to
enhance Side-Channel Attacks (SCA). These seminal works have practically validated the …

Although all current scientific white-box approaches of standardized cryptographic primitives
are broken, there is still a large number of companies which sell “secure” white-box …

Voltage fault injection is a powerful active side channel attack that modifies the execution-
flow of a device by creating disturbances on the power supply line. The attack typically aims …

To identify the key factors and create the landscape of cybersecurity for embedded systems
(CSES), an analytical review of the existing research on CSES has been conducted. The …

Embedded software is developed under the assumption that hardware execution is always
correct. Fault attacks break and exploit that assumption. Through the careful introduction of …