A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces

• URL: http://arxiv.org/abs/2402.19037v2
• Date: Fri, 30 Aug 2024 13:58:55 GMT
• Title: A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces
• Authors: Giuseppe Chiari, Davide Galli, Francesco Lattari, Matteo Matteucci, Davide Zoni,
• Abstract summary: Side-channel attacks allow extracting secret information from the execution of cryptographic primitives. This paper presents a novel deep-learning technique to locate the time instant in which the target computed cryptographic operations are executed.
• Score: 4.746461615041115
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Side-channel attacks allow extracting secret information from the execution of cryptographic primitives by correlating the partially known computed data and the measured side-channel signal. However, to set up a successful side-channel attack, the attacker has to perform i) the challenging task of locating the time instant in which the target cryptographic primitive is executed inside a side-channel trace and then ii)the time-alignment of the measured data on that time instant. This paper presents a novel deep-learning technique to locate the time instant in which the target computed cryptographic operations are executed in the side-channel trace. In contrast to state-of-the-art solutions, the proposed methodology works even in the presence of trace deformations obtained through random delay insertion techniques. We validated our proposal through a successful attack against a variety of unprotected and protected cryptographic primitives that have been executed on an FPGA-implemented system-on-chip featuring a RISC-V CPU.

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