Engineering Secure Two-Party Computation Protocols

Engineering Secure Two-Party Computation Protocols

Author: Thomas Schneider

Publisher: Springer Science & Business Media

Published: 2012-08-04

Total Pages: 149

ISBN-13: 3642300421

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Secure two-party computation, called secure function evaluation (SFE), enables two mutually mistrusting parties, the client and server, to evaluate an arbitrary function on their respective private inputs while revealing nothing but the result. Originally the technique was considered to be too inefficient for practical privacy-preserving applications, but in recent years rapid speed-up in computers and communication networks, algorithmic improvements, automatic generation, and optimizations have enabled their application in many scenarios. The author offers an extensive overview of the most practical and efficient modern techniques used in the design and implementation of secure computation and related protocols. After an introduction that sets secure computation in its larger context of other privacy-enhancing technologies such as secure channels and trusted computing, he covers the basics of practically efficient secure function evaluation, circuit optimizations and constructions, hardware-assisted garbled circuit protocols, and the modular design of efficient SFE protocols. The goal of the author's research is to use algorithm engineering methods to engineer efficient secure protocols, both as a generic tool and for solving practical applications, and he achieves an excellent balance between the theory and applicability. The book is essential for researchers, students and practitioners in the area of applied cryptography and information security who aim to construct practical cryptographic protocols for privacy-preserving real-world applications.


Secure Two-Party Computation Protocols

Secure Two-Party Computation Protocols

Author: Bolt William

Publisher: Createspace Independent Publishing Platform

Published: 2016-09-21

Total Pages: 144

ISBN-13: 9781983988530

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Secure two-party computation, called secure function evaluation (SFE), enables two mutually mistrusting parties, the client and server, to evaluate an arbitrary function on their respective private inputs while revealing nothing but the result. Originally the technique was considered to be too inefficient for practical privacy-preserving applications, but in recent years rapid speed-up in computers and communication networks, algorithmic improvements, automatic generation, and optimizations have enabled their application in many scenarios. The author offers an extensive overview of the most practical and efficient modern techniques used in the design and implementation of secure computation and related protocols. After an introduction that sets secure computation in its larger context of other privacy-enhancing technologies such as secure channels and trusted computing, he covers the basics of practically efficient secure function evaluation, circuit optimizations and constructions, hardware-assisted garbled circuit protocols, and the modular design of efficient SFE protocols. The goal of the author's research is to use algorithm engineering methods to engineer efficient secure protocols, both as a generic tool and for solving practical applications, and he achieves an excellent balance between the theory and applicability. The book is essential for researchers, students and practitioners in the area of applied cryptography and information security who aim to construct practical cryptographic protocols for privacy-preserving real-world applications.


Efficient Secure Two-Party Protocols

Efficient Secure Two-Party Protocols

Author: Carmit Hazay

Publisher: Springer Science & Business Media

Published: 2010-11-02

Total Pages: 263

ISBN-13: 3642143032

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In the setting of multiparty computation, sets of two or more parties with p- vate inputs wish to jointly compute some (predetermined) function of their inputs. The computation should be such that the outputs received by the parties are correctly distributed, and furthermore, that the privacy of each party’s input is preserved as much as possible, even in the presence of - versarial behavior. This encompasses any distributed computing task and includes computations as simple as coin-tossing and broadcast, and as c- plex as electronic voting, electronic auctions, electronic cash schemes and anonymous transactions. The feasibility (and infeasibility) of multiparty c- putation has been extensively studied, resulting in a rather comprehensive understanding of what can and cannot be securely computed, and under what assumptions. The theory of cryptography in general, and secure multiparty computation in particular, is rich and elegant. Indeed, the mere fact that it is possible to actually achieve the aforementioned task is both surprising and intriguing.


A Pragmatic Introduction to Secure Multi-Party Computation

A Pragmatic Introduction to Secure Multi-Party Computation

Author: David Evans

Publisher: Foundations and Trends (R) in Privacy and Security

Published: 2018-12-19

Total Pages: 190

ISBN-13: 9781680835083

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Practitioners and researchers seeking a concise, accessible introduction to secure multi-party computation which quickly enables them to build practical systems or conduct further research will find this essential reading.


Secure Multi-party Computation

Secure Multi-party Computation

Author: Manoj Prabhakaran

Publisher: IOS Press

Published: 2013

Total Pages: 296

ISBN-13: 1614991685

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Secure Multi-Party Computation MPC is one of the most powerful tools developed by modern cryptography it facilitates collaboration among mutually distrusting parties by implementing a virtual trusted party. Despite the remarkable potential of such a tool, and decades of active research in the theoretical cryptography community, it remains a relatively inaccessible and lesser-known concept outside of this field. Only a handful of resources are available to students and researchers wishing to learn more about MPC. The editors of this book have assembled a comprehensive body of basic and advanced material on MPC, authored by


Applications of Secure Multiparty Computation

Applications of Secure Multiparty Computation

Author: P. Laud

Publisher: IOS Press

Published: 2015-07-30

Total Pages: 264

ISBN-13: 161499532X

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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.


Secure Two-party Computation and Communication

Secure Two-party Computation and Communication

Author: Vladimir Kolesnikov

Publisher:

Published: 2006

Total Pages: 312

ISBN-13:

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In this dissertation, we address several issues that arise in protecting communication between parties, as well as in the area of secure function evaluation. Intuitively, the notion of secure function evaluation is clear and natural: several parties wish to compute some function of their inputs without revealing any information about the inputs, other than what is implied by the value of the function. Research included in this dissertation follows three main directions, briefly described below.The first direction (Chapters 3 and 4) is the design of efficient protocols for concrete functions of interest. Specifically, we present new, more efficient protocols for securely computing the Greater Than (GT) function on the inputs of two parties. Secure evaluation of GT is frequently needed in financial transactions. We introduce new primitives, which are convenient building blocks for more complex tasks, and generalize our GT solutions to satisfy them. Based on this, we construct secure auction protocols, protocols for determining whether an integer lies on an interval, and others.The third direction (Chapter 6) is research on key exchange (KE). In contrast with the previous two directions, here the goal is for two parties to protect their communication against eavesdropping and active interference of an external attacker. KE is a basic procedure, frequently used to establish secure channels between parties. It is a prerequisite to a large number of protocols, including those of the above two directions. We demonstrate a subtle flaw in a previous family of KE protocols and give new KE definitions for the following practical "bank" setting. Here, a server wishes to exchange a key with a client. They have a shared password, and the client carries a "bank card", capable of storing several cryptographic keys. Finally, we present new, more efficient KE protocols for this setting, and prove their security.The second direction (Chapter 5) is a fundamental approach to secure evaluation of any function, given as a boolean circuit. We present a very efficient information-theoretic (IT) reduction from the problem of secure evaluation of a polysize formula (or, equivalently, a log-depth boolean circuit) to Oblivious Transfer (a fundamental well-researched cryptographic primitive). Our cost of evaluating each gate of the formula is quadratic in its depth, while in previous reductions it was exponential. Our constructions imply efficient one-round protocols for evaluation of polysize formulas on the players' inputs. We extend our solutions to evaluation of polysize circuits, at the cost of having only computational security.


Security and Cryptography for Networks

Security and Cryptography for Networks

Author: Dario Catalano

Publisher: Springer

Published: 2018-08-29

Total Pages: 580

ISBN-13: 3319981137

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This book constitutes the proceedings of the 11th International Conference on Security and Cryptography for Networks, SCN 2018, held in Amalfi, Italy, in September 2018. The 30 papers presented in this volume were carefully reviewed and selected from 66 submissions. They are organized in topical sections on signatures and watermarking; composability; encryption; multiparty computation; anonymity and zero knowledge; secret sharing and oblivious transfer; lattices and post quantum cryptography; obfuscation; two-party computation; and protocols.


Secure Multiparty Computation

Secure Multiparty Computation

Author: Ronald Cramer

Publisher: Cambridge University Press

Published: 2015-07-15

Total Pages: 385

ISBN-13: 1107043050

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This book provides information on theoretically secure multiparty computation (MPC) and secret sharing, and the fascinating relationship between the two concepts.


Composition of Secure Multi-Party Protocols

Composition of Secure Multi-Party Protocols

Author: Yehuda Lindell

Publisher: Springer Science & Business Media

Published: 2003-09-08

Total Pages: 216

ISBN-13: 9783540201052

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In the setting of multi-party computation, sets of two or more parties with private inputs wish to jointly compute some (predetermined) function of their inputs. General results concerning secure two-party or multi-party computation were first announced in the 1980s. Put briefly, these results assert that under certain assumptions one can construct protocols for securely computing any desired multi-party functionality. However, this research relates only to a setting where a single protocol execution is carried out. In contrast, in modern networks, many different protocol executions are run at the same time. This book is devoted to the general and systematic study of secure multi-party computation under composition. Despite its emphasis on a theoretically well-founded treatment of the subject, general techniques for designing secure protocols are developed that may even result in schemes or modules to be incorporated in practical systems. The book clarifies fundamental issues regarding security in a multi-execution environment and gives a comprehensive and unique treatment of the composition of secure multi-party protocols.