Efficient Correlation Power Analysis (CPA) Focusing on Byte-Wise Calculation Points

Youngbae Jeon, Ji Hyuk Jung, Ji Won Yoon

Research output: Contribution to journalArticlepeer-review

Abstract

Correlation Power Analysis (CPA) uses a lot of computational resources for deploying side-channel analysis to power traces. For every guessing key, it searches all data points and all power traces to reveal the secret key implemented in the encryption module. In this work, we propose a novel technique to narrow down the target region for applying CPA to the power traces. As byte-wise operations occur in every clock period, the assumed amplitude value based on the power consumption model and the actual amplitude are most correlated at the points where the peaks are observed. We extract the calculation points of each power trace using signal processing and machine learning techniques, and select the region where the CPA will be applied to. Our proposed approach achieves an approximately 20% improvement in accuracy and requires less computational resources compared to conventional CPA.

Original languageEnglish
Article number9430569
Pages (from-to)74275-74285
Number of pages11
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

Keywords

  • AES
  • correlation power analysis
  • k-means algorithm
  • peak detection
  • Side-channel analysis
  • simple power analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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