Implementation and Analysis of Verifiable Random Functions with Additional Data
K.S.N.M. Rao, Prasad Kumkar
Abstract - Research suggests that verifiable random functions (VRFs) are essential cryptographic primitives for blockchain consensus mechanisms. This study provides a comprehensive implementation and analysis of VRFs with additional data on various elliptic curves, including Bandersnatch, Ed25519, secp256k1, and BLS12-381. Results showed significant improvements in verification efficiency when utilizing curve-specific optimizations. Ring VRF constructions using KZG commitments were compared with traditional approaches, achieving sub-millisecond verification for rings up to 1024 members.















