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A Side Channel Attack Methodology Applied to Code-Based Post Quantum Cryptography

  • 2023
  • OriginalPaper
  • Chapter
Published in:
Authors
Kristjane Koleci
Lorenzo Cecchetti
Guido Masera
Maurizio Martina
Massimo Ruo Roch
Published in
Applications in Electronics Pervading Industry, Environment and Society
Publisher
Springer Nature Switzerland

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Abstract

This chapter delves into the application of side-channel attack methodologies to code-based post-quantum cryptography, focusing on the power consumption profile of a multiplier employed in PQC primitives. The study begins with an introduction to the security concerns of public key cryptography in the era of quantum computing and the necessity of post-quantum cryptography algorithms. It then describes the architecture of code-based cryptosystems, particularly LEDAcrypt/BIKE, and the critical role of the multiplier in these systems. The chapter outlines the attack methodology, which involves analyzing dynamic power consumption to predict information leakages. The correlation power analysis attack is applied to the power traces of the multiplier, aiming to recover the secret key. The study is validated through simulations and real implementations on an FPGA device, highlighting the vulnerabilities and proposing a method to prevent such security issues during the design phase. The chapter concludes by discussing the implications of the findings and suggesting future work to enhance the security of PQC multipliers against side-channel attacks.
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previous chapter Analysis, Design and Synthesis of an Execution Tracing Unit (ETU) Based on AUTOSAR Run-Time Interface (ARTI)
next chapter A 2 GHz Wide Tuning Range LC-Tank Digitally Controlled Oscillator in 28 nm CMOS Technology
Title
A Side Channel Attack Methodology Applied to Code-Based Post Quantum Cryptography
Authors
Kristjane Koleci
Lorenzo Cecchetti
Guido Masera
Maurizio Martina
Massimo Ruo Roch
Copyright Year
2023
Book
Applications in Electronics Pervading Industry, Environment and Society

Print ISBN: 978-3-031-30332-6

Electronic ISBN: 978-3-031-30333-3

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-30333-3_12
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