Performance Evaluation of Quantum-Resistant Algorithm in Blockchain using FALCON
K C Rohit, S K Sridhar, M Gurupriya, S Aravind · 2025
Blockchain transactions have transformed industrial sectors and are transparent, safe, and decentralized. Quantum computing makes use of quantum mechanics to execute extremely intricate computations which cannot be done by conventional computers. However, the conventional encryption techniques used in blockchain face a serious security concern over the evolution of quantum computing. Strong security is provided by the renowned elliptic curve digital signature algorithm (ECDSA), which uses the secp256k1 and Schnorr algorithms in modern blockchains. But, these algorithms are vulnerable to attacks. Additionally, integrating blockchain technology with the Interplanetary File System (IPFS) with the ability to share data, as well as store, provided by the long-term strategy. This study explores how postquantum signatures, which can significantly increase blockchain system efficiency, can be integrated with the IPFS in a blockchain system. Falcon algorithm generates smaller signature and key size that can be used to analyze a quantum resistant blockchain. The proposed algorithm namely, Hybrid Elliptic Curve digital signature algorithm along with Falcon provides double protection over data. This paper represents the key size, size of signature, transaction verification time and limits of scalability of the proposed algorithm compared to the state-of-art algorithms.