Antonio De Luca
Leveraging Deep Learning Techniques for Cross-Family Side-Channel Attacks on 8-bit Microcontrollers.
Rel. Paolo Ernesto Prinetto, Samuele Yves Cerini. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
The decreasing price of consumer electronics and the rise of the Internet of Things (“IoT”) paradigm are contributing to the massive spread of embedded systems and microcontrollers. These low cost devices, often characterized by limited performance, internet connectivity and low power consumption are now permeating our lives with applications in home appliances, wearable devices and industrial controllers. Despite being so widely spread, the protection of the data they handle is rarely tackled. Cryptographic algorithms were developed to provide effective protection mechanisms against cyber attackers, although their implementation on physical devices plays an important role in their attack resistance, exposing new vulnerabilities.
The elevated number of embedded devices combined with the importance of sensitive data led to new attack methodologies, known as Side-Channel Analysis (“SCA”)
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