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Secure Multiparty Computation: The Future of Privacy-Preserving Data Sharing and Collaborations
In recent years, the increasing need for privacy-preserving data sharing and collaborations has spurred the development of new cryptographic techniques. Among these is a sophisticated tool called Secure Multi-party calculation (MPC), which allows many participants to calculate a function across their inputs without disclosing anything beyond the result of the calculation.
The book titled “Secure Multiparty The Future of Privacy-Preserving Data Sharing and Collaborations” aims to provide a comprehensive introduction to MPC, covering both the theoretical foundations and the practical aspects of designing, analyzing, and deploying MPC systems. We start with an overview of MPC's basic concepts and definitions, including the security and correctness properties achieved by different flavours of MPC protocols. We then explore various use cases of MPC, from collaborative data analysis and machine learning to privacy-preserving auctions and voting, and examine the advantages and limitations of MPC compared to other privacy-preserving techniques.
To design and implement an MPC system, one needs to consider many factors, such as the choice of cryptographic primitives, the protocol design, the optimization of performance and scalability, and the interoperability with other systems. This book discusses the principles and best practices for designing secure and efficient MPC systems and provides examples of state-of-the-art MPC protocols and platforms.
Security and privacy analysis is essential to ensure that an MPC system achieves the intended security goals and resists attacks from malicious parties. We devote a chapter to studying security models and proofs for MPC and discuss various attacks and countermeasures relevant to MPC protocols.
Performance evaluation is another important aspect of MPC, as the computational and communication overheads of MPC can be significant for large-scale and real-world applications. We present methods for measuring and improving the performance of MPC protocols and discuss the trade-offs between security and efficiency.
Interoperability and standardization are crucial for adopting and integrating MPC into existing systems and infrastructures. We describe the efforts towards standardizing MPC protocols and platforms and discuss the challenges and opportunities for interoperability among different MPC systems.
Legal and regulatory considerations are also important for deploying MPC, as the use of MPC may involve sensitive or regulated data and applications. We discuss the legal frameworks and requirements that apply to MPC, highlighting the potential risks and compliance issues that must be addressed.
Challenges and limitations are inherent in any technology, and MPC is no exception. We identify and discuss several challenges and limitations of MPC, such as the complexity and scalability of protocols, the assumptions and requirements of the parties, the trustworthiness of hardware and software, and the usability and accessibility for end-users.
Finally, we conclude the book by looking ahead to the future trends and directions in MPC research and development. We discuss the emerging topics and applications of MPC, such as blockchain and smart contracts, federated learning, and homomorphic encryption, and outline the open research problems and opportunities in the field.
For those interested in a thorough and practical guide to anyone interested in learning about MPC, from students and researchers to practitioners and policymakers. We also hope this book will contribute to advancing and adopting MPC as a powerful and versatile tool for privacy-preserving data sharing and collaborations.
The book titled “Secure Multiparty The Future of Privacy-Preserving Data Sharing and Collaborations” aims to provide a comprehensive introduction to MPC, covering both the theoretical foundations and the practical aspects of designing, analyzing, and deploying MPC systems. We start with an overview of MPC's basic concepts and definitions, including the security and correctness properties achieved by different flavours of MPC protocols. We then explore various use cases of MPC, from collaborative data analysis and machine learning to privacy-preserving auctions and voting, and examine the advantages and limitations of MPC compared to other privacy-preserving techniques.
To design and implement an MPC system, one needs to consider many factors, such as the choice of cryptographic primitives, the protocol design, the optimization of performance and scalability, and the interoperability with other systems. This book discusses the principles and best practices for designing secure and efficient MPC systems and provides examples of state-of-the-art MPC protocols and platforms.
Security and privacy analysis is essential to ensure that an MPC system achieves the intended security goals and resists attacks from malicious parties. We devote a chapter to studying security models and proofs for MPC and discuss various attacks and countermeasures relevant to MPC protocols.
Performance evaluation is another important aspect of MPC, as the computational and communication overheads of MPC can be significant for large-scale and real-world applications. We present methods for measuring and improving the performance of MPC protocols and discuss the trade-offs between security and efficiency.
Interoperability and standardization are crucial for adopting and integrating MPC into existing systems and infrastructures. We describe the efforts towards standardizing MPC protocols and platforms and discuss the challenges and opportunities for interoperability among different MPC systems.
Legal and regulatory considerations are also important for deploying MPC, as the use of MPC may involve sensitive or regulated data and applications. We discuss the legal frameworks and requirements that apply to MPC, highlighting the potential risks and compliance issues that must be addressed.
Challenges and limitations are inherent in any technology, and MPC is no exception. We identify and discuss several challenges and limitations of MPC, such as the complexity and scalability of protocols, the assumptions and requirements of the parties, the trustworthiness of hardware and software, and the usability and accessibility for end-users.
Finally, we conclude the book by looking ahead to the future trends and directions in MPC research and development. We discuss the emerging topics and applications of MPC, such as blockchain and smart contracts, federated learning, and homomorphic encryption, and outline the open research problems and opportunities in the field.
For those interested in a thorough and practical guide to anyone interested in learning about MPC, from students and researchers to practitioners and policymakers. We also hope this book will contribute to advancing and adopting MPC as a powerful and versatile tool for privacy-preserving data sharing and collaborations.
101 pages, Paperback
Published May 1, 2023
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