Applications of Secure Multiparty Computation
eBook - PDF

Applications of Secure Multiparty Computation

  1. 264 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Applications of Secure Multiparty Computation

About this book

We generate and gather a lot of data about ourselves and others, some of it highly confidential. The collection, storage and use of this data is strictly regulated by laws, but restricting the use of data often limits the benefits which could be obtained from its analysis. Secure multi-party computation (SMC), a cryptographic technology, makes it possible to execute specific programs on confidential data while ensuring that no other sensitive information from the data is leaked. SMC has been the subject of academic study for more than 30 years, but first attempts to use it for actual computations in the early 2000s – although theoretically efficient – were initially not practicable. However, improvements in the situation have made possible the secure solving of even relatively large computational tasks. This book describes how many different computational tasks can be solved securely, yet efficiently. It describes how protocols can be combined to larger applications, and how the security-efficiency trade-offs of different components of an SMC application should be chosen. Many of the results described in this book were achieved as part of the project Usable and Efficient Secure Multi-party Computation (UaESMC), which was funded by the European Commission. The book will be of interest to all those whose work involves the secure analysis of confidential data.

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Yes, you can access Applications of Secure Multiparty Computation by P. Laud,L. Kamm,Peeter Laud,Liina Kamm in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Technology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title Page
  2. Preface
  3. Contents
  4. Chapter 1. Basic Constructions of Secure Multiparty Computation
  5. Chapter 2. Stateful Abstractions of Secure Multiparty Computation
  6. Chapter 3. Social Need for Secure Multiparty Computation
  7. Chapter 4. Statistical Analysis Methods Using Secure Multiparty Computation
  8. Chapter 5. Achieving Optimal Utility for Distributed Differential Privacy Using Secure Multiparty Computation
  9. Chapter 6. Oblivious Array Access for Secure Multiparty Computation
  10. Chapter 7. Business Process Engineering and Secure Multiparty Computation
  11. Chapter 8. Mechanism Design and Strong Truthfulness
  12. Chapter 9. Verifiable Computation in Multiparty Protocols with Honest Majority
  13. Chapter 10. Universally Verifiable Outsourcing and Application to Linear Programming
  14. Chapter 11. Transformation-Based Computation and Impossibility Results
  15. Chapter 12. Practical Applications of Secure Multiparty Computation
  16. Author Index