Applications of Secure Multiparty Computation 1st Edition by Laud, Kamm ISBN 978-1614995319 1614995311
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Product details:
ISBN 10: 1614995311
ISBN 13: 978-1614995319
Author: Laud, Kamm
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.
Table of contents:
Chapter 1. Basic Constructions of Secure Multiparty Computation Peeter Laud, Alisa Pankova, Liina Kamm and Meilof Veeningen
Chapter 2. Stateful Abstractions of Secure Multiparty Computation Peeter Laud
Chapter 3. Social Need for Secure Multiparty Computation Laur Kanger and Pille Pruulmann-Vengerfeldt
Chapter 4. Statistical Analysis Methods Using Secure Multiparty Computation Liina Kamm, Dan Bogdanov, Alisa Pankova and Riivo Talviste
Chapter 5. Achieving Optimal Utility for Distributed Differential Privacy Using Secure Multiparty Computation
Fabienne Eigner, Aniket Kate, Matteo Maffei, Francesca Pampaloni and Ivan Pryvalov
Chapter 6. Oblivious Array Access for Secure Multiparty Computation Peeter Laud
Chapter 7. Business Process Engineering and Secure Multiparty Computation Roberto Guanciale, Dilian Gurov and Peeter Laud
Chapter 8. Mechanism Design and Strong Truthfulness Yiannis Giannakopoulos
Chapter 9. Verifiable Computation in Multiparty Protocols with Honest Majority Alisa Pankova and Peeter Laud
Chapter 10. Universally Verifiable Outsourcing and Application to Linear Programming
Sebastiaan de Hoogh, Berry Schoenmakers and Meilof Veeningen
Chapter 11. Transformation-Based Computation and Impossibility Results Alisa Pankova and Peeter Laud
Chapter 12. Practical Applications of Secure Multiparty Computation Riivo Talviste
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Tags: Laud, Kamm, Secure Multiparty Computation