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Updated: Jun 2, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Protected memristive implementations of cryptographic functions.

Ziang Chen1,2, Li-Wei Chen3, Xianyue Zhao1,2

  • 1Institute for Solid State Physics, Friedrich Schiller University Jena, Jena, Germany.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|January 16, 2025
PubMed
Summary
This summary is machine-generated.

Memristor technology offers in-memory processing to overcome computing bottlenecks. This study explores memristor-based countermeasures against cryptographic attacks, finding hiding techniques effective but masking methods limited by power consumption variations.

Keywords:
hiding and masking countermeasuresmemristorssecure cryptographic implementations

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Cryptography

Background:

  • Von Neumann architectures face performance limitations due to the memory wall.
  • Memristive devices enable in-memory processing, offering a novel approach beyond traditional CMOS technology.
  • Security and cryptographic functions are critical areas for exploring memristor applications.

Purpose of the Study:

  • To investigate memristor-oriented countermeasures against cryptographic vulnerabilities.
  • To analyze the effectiveness of hiding and masking techniques in memristive cryptographic implementations.
  • To evaluate the feasibility of memristor-based security solutions for future computing platforms.

Main Methods:

  • Review of memristive crossbar configurations for cryptographic functions.
  • Implementation of a four-bit S-box using memristor technology.
  • Analysis of memristor-oriented hiding and masked dual-rail pre-charge logic (MDPL) masking techniques on a self-rectifying passive crossbar.

Main Results:

  • Memristor-oriented hiding techniques demonstrate significant efficacy.
  • Memristor-oriented MDPL masking methods show limitations, particularly concerning power consumption profiles of different input data.
  • The xor4Sbox with CRS-based MDPL masking failed stochastic tests due to power consumption discrepancies, despite passing t-tests.

Conclusions:

  • Memristive technology presents viable options for in-memory computing and cryptographic functions.
  • Further research is needed to optimize memristor-based masking techniques for robust security.
  • This work contributes to understanding the challenges and opportunities of memristors in secure computing.