PQCinBlock: A Tool for Analyzing the Impact of Post-Quantum Cryptography Algorithms on Blockchains through Benchmarking and Simulation

• Alison G. Schemitt PUCRS http://orcid.org/0009-0001-3278-0019
• Marco A. C. Rodegheri PUCRS https://orcid.org/0009-0008-3703-0488
• Henrique C. P. Horch PUCRS https://orcid.org/0009-0003-7742-4194
• Roben C. Lunardi PUCRS / IFRS https://orcid.org/0000-0002-8118-0802
• Avelino F. Zorzo PUCRS https://orcid.org/0000-0002-0790-6759
• Henrique F. da Silva UNIPAMPA https://orcid.org/0009-0002-9033-2633
• Diego Kreutz UNIPAMPA https://orcid.org/0000-0003-0830-0238
• Rodrigo B. Mansilha UNIPAMPA https://orcid.org/0000-0002-2083-653X

DOI: https://doi.org/10.5753/sbseg_estendido.2026.33600

Abstract

We present PQCinBlock, a tool to evaluate the performance and storage impact of Post-Quantum Digital Signature Algorithms on blockchain systems through benchmarks and simulations. Our work has two main objectives: (1) the direct comparison with classical algorithms (e.g., ECDSA) and (2) different computational environment tests. PQCinBlock integrates with blockchain simulators (e.g., BlockSim), offering a practical way to analyze how different signature algorithms affect the behavior and performance of blockchain networks. This approach enables the evaluation of everything from processing times and the storage space required for cryptographic artifacts to the impacts of using these algorithms in blockchains.

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