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All Journal Zero : Jurnal Sains, Matematika, dan Terapan
Ehkan, Phaklen
Universiti Malaysia Perlis, Perlis, Malaysia
Agriculture, Biological Sciences & Forestry Chemistry Mathematics Physics

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Hamming Weight-Based Simulation of Correlation Power Analysis for AES Key Extraction Siahaan, Andysah Putera Utama; Ehkan, Phaklen; Ullah, Insaf
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 1 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i1.24294

Abstract

This study investigates the effectiveness of Correlation Power Analysis (CPA) using the Hamming Weight model to extract AES encryption keys in a fully software-simulated environment. By leveraging Python programming, we emulate power traces not from hardware devices but through Hamming Weight calculations derived from byte-level operations during AES encryption. Simulated plaintexts are randomly generated, and key hypotheses are evaluated using Pearson correlation between expected bit-switching activity and simulated traces. The method achieved approximately 50% accuracy with just 10 plaintexts and up to 85% accuracy when using over 1,000 simulated inputs. Correlation coefficients above 0.90 were consistently observed for most key bytes. While the simulation avoids the complexity of real-world noise and hardware interference, it also lacks authentic electrical characteristics. This highlights both the novelty and the limitation of a software-only CPA framework. The findings underline the vulnerability of AES to side-channel attacks and suggest countermeasures like masking to reduce risk.
Co-Authors Andysah Putera Utama Siahaan Ullah, Insaf