Research on multi-party computation (MPC) in blockchain privacy and security focuses on enabling multiple parties to jointly compute functions over their inputs while keeping those inputs private. By integrating MPC with blockchain, decentralized systems can perform collaborative computations, verify transactions, or execute smart contracts without exposing sensitive data to other participants or third parties. This approach enhances confidentiality, resists tampering, and supports trustless interactions in applications such as finance, healthcare, and voting systems. Studies also address challenges related to computational efficiency, scalability, and communication overhead, as well as hybrid models combining MPC with cryptographic techniques like zero-knowledge proofs and threshold signatures. Overall, MPC-based blockchain solutions provide robust privacy-preserving mechanisms that strengthen security and trust in decentralized ecosystems.