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Lecture notes in computer science

Insured MPC: Efficient Secure Computation with Financial Penalties

Carsten Baum, Bernardo David, Rafael Dowsley

Published Jan 1, 2020• 32 citations
Publisher
DOI
10.1007/978-3-030-51280-4_22

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Secure Multi-Party Computation (MPC) is a cryptographic framework that enables multiple parties to jointly compute a function over their inputs while keeping those inputs private. MPC has found applications in privacy-preserving data analytics, secure voting, private machine learning, and secure financial transactions. This article provides a comprehensive survey of recent advances in MPC protocols, including fully homomorphic encryption, garbled circuits, and oblivious transfer. It also explores the challenges in efficiency, scalability, and real-world deployment of MPC and discusses future research directions to enhance its practicality and security.
Institutions — banks, insurers, hedge funds, and asset managers — are central to fueling the quantum revolution. They supply the capital necessary for research and development as principal investors in quantum startups and partnerships. As early movers, they pilot practical applications such as portfolio optimization, derivatives pricing, and catastrophe modeling, demonstrating quantum's real-world utility. They're also leading in quantum-safe security, advocating for higher encryption to keep valuable transactions secure from coming quantum attacks. By using quantum computing in risk management and product development, they can create more effective financial products, enhance lending and insurance precision, and facilitate better fraud detection. Briefly: Financial institutions drive, experiment with, secure, and amplify the quantum revolution, and profit from it as well. Finance and quantum are symbiotic — each propels the other.