A Two-Stage TMV SRAM PUF Preselection Method with Fewer ECC Resources

The Temporary Majority Voting (TMV) method can enhance the stability of Static Random Access Memory Physical Unclonable Function(SRAM PUF), but it still incurs a significant overhead of Error Correction Code (ECC) resources. This paper proposes a two-stage TMV preselection method, where the preselected ‘1’ and ‘0’ cells are divided into two parts. The response is segmented into two equal-length segments, and each segment is composed of ‘1’ and ‘0’ cells with different bias strengths. During the reconstruction phase, both segments of the response use the same fuzzy extractor. The experimental results demonstrate that the proposed method reduces error correction resources by 48.6% by leveraging hardware resources reuse without compromising the performance of SRAM PUF. The proposed approach holds significant practical engineering value.

• Publication year

  2024

• Venue

  IEEE Advanced Information Technology, Electronic and Automation Control Conference

• Publication date

  2024-03-15

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/IAEAC59436.2024.10503621
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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