Cioffi, Antonella (2021) Enhanced attacks and security assessment based on leakage measurements in embedded devices. [Tesi di dottorato]

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Abstract

This thesis focuses on the study of the Internet of Things devices security against two typologies of side-channel attacks (SCAs): power measurements-based and timing measurements-based attacks. In particular, three aspects of the IoT security against SCA are faced: (i) improvement of power attack efficiency, (ii) improvement of Vulnerability Assessments tests, and (iii) techniques for robustness evaluation of cryptographic algorithms. The improvement of power attack efficiency is aimed at decreasing the effort and the time needed to find the secret key of the cryptographic algorithm. To this aim, an enhanced version of the power attack was realized by increasing the signal-to-noise ratio (SNR) of the power traces before applying statistical operations. For the improvement of Vulnerability Assessments tests, needed to evaluate the robustness of IoT devices respect to the side-channel attacks, a method for assessing the security at varying the power countermeasures is proposed. The method provides a metric to express the effectiveness of a countermeasure in straightening the IoT transducers security, and it is able to identify the most effective countermeasure. As concerns the techniques for the robustness evaluation of cryptographic algorithms, an experimental test of robustness to timing attack is reported for the asymmetric cryptographic algorithm most used in Internet of Things framework, i.e. the Elliptic Curve Digital Signature Algorithm (ECDSA).

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