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DIMACS series in discrete mathematics and theoretical computer science

Perfect privacy for two-party protocols

Donald Beaver

Published Apr 3, 1991• 78 citations
Publisher
DOI
10.1090/dimacs/002/03

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On unconditionally secure multi-party sampling from scratch1

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In the problem of secure multi-party sampling, n parties wish to securely sample an n-variate joint distribution, with each party receiving a sample of one of the correlated variables. The objective is to correctly produce the samples using a distributed message passing protocol, while maintaining privacy against a coalition of passively cheating parties. In the two-party case, we fully characterize the joint distributions that can be securely sampled under perfect correctness and privacy requirements as well as under weakened correctness and privacy requirements. Furthermore, we show that the distributions that can be securely sampled can be produced with a protocol that only uses one round of unidirectional communication. For the n-party case, any distribution can be securely sampled with privacy against a strict minority coalition, due to well-known results in secure multi-party computation. However, when privacy against a majority coalition is required, not all distributions can be securely sampled. We give necessary conditions and sufficient conditions for distributions that can be securely sampled. However, the exact characterization of the distributions that can be securely sampled remains open.

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Models

Ronald Cramer, Ivan Damgård, Jesper Buus Nielsen

Introduction The protocol we described in Chapter 3 is perfectly correct and perfectly private, but it cannot tolerate that any of the parties deviate from the protocol. In later chapters we will present protocols that are correct and private even if some parties do not follow the protocol. Such protocols are called robust. Before we can prove that these protocols are robust, we need a good definition of what we mean by that. In this section we will describe a security model for cryptographic protocols known as the UC model. Here UC stands for universally composable . The name was adopted because a protocol proven secure in this model remains secure regardless of the context in which it is used. In other words, it can be “universally” composed with any set of other protocols. Our formulation of the UC model differs in several respects from the way it was originally formalized in the literature. We will hint at these differences as we go; some additional comments can be found in the Notes section of this chapter. Before we look at the formal details, let us start by discussing the basic ideas of how to define privacy and robustness of a protocol and last, but not least, why and how these two concepts should be defined via one common definition because they are closely entangled. Defining Privacy It is convenient to first look back on how we defined privacy in Chapter 3. Informally, we defined a protocol to be private (against corruptions of size t ) as follows: first, pick an input ( x 1 ,…, x n )for the protocol, and make a run of the protocol on this input. Then pick some C ⊂{P 1 ,…,P n } with | C | ≤ t and consider the values {view j }P j∈C , where view j is the view of party P j in the execution. The values {view j }P j ∈ C constitute exactly the information leaked to the corrupted parties, C , during an execution. In the following we therefore call the values {view j }P j ∈ C the leaked values. We then want to say that the leaked values do not allow the corrupted parties to learn anything that they should not learn. It is clear that the corrupted parties necessarily must learn their own inputs and outputs; in fact, this is the entire purpose of the protocol. We therefore call the values { x j , y j }P j ∈ C the allowed values.

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Preserving privacy in a smart grid scenario using quantum mechanics

Fábio Borges, Raqueline A. M. Santos, Franklin de Lima Marquezino

Abstract Studies on smart grid and quantum mechanics have potential to yield several benefits to society, with the former resulting in economic and environmental benefits and the latter providing perfect security and privacy at affordable costs. Recently, security and privacy have become important issues in electrical power grids. In this paper, we describe two quantum privacy‐enhancing protocols: one of them requires that the parties initially share a certain amount of quantum entangled states, while the other uses only quantum key distribution methods without sharing quantum entangled states. The two proposed protocols are resistant to attacks from quantum computers. This paper also describes some recent advances of classical and quantum privacy‐enhancing technologies. Copyright © 2014 John Wiley & Sons, Ltd.

Security and Communication Networks•Oct 28, 2014•8 citations
In the problem of secure multi-party sampling, n parties wish to securely sample an n-variate joint distribution, with each party receiving a sample of one of the correlated variables. The objective is to correctly produce the samples using a distributed message passing protocol, while maintaining privacy against a coalition of passively cheating parties. In the two-party case, we fully characterize the joint distributions that can be securely sampled under perfect correctness and privacy requirements as well as under weakened correctness and privacy requirements. Furthermore, we show that the distributions that can be securely sampled can be produced with a protocol that only uses one round of unidirectional communication. For the n-party case, any distribution can be securely sampled with privacy against a strict minority coalition, due to well-known results in secure multi-party computation. However, when privacy against a majority coalition is required, not all distributions can be securely sampled. We give necessary conditions and sufficient conditions for distributions that can be securely sampled. However, the exact characterization of the distributions that can be securely sampled remains open.
Introduction The protocol we described in Chapter 3 is perfectly correct and perfectly private, but it cannot tolerate that any of the parties deviate from the protocol. In later chapters we will present protocols that are correct and private even if some parties do not follow the protocol. Such protocols are called robust. Before we can prove that these protocols are robust, we need a good definition of what we mean by that. In this section we will describe a security model for cryptographic protocols known as the UC model. Here UC stands for universally composable . The name was adopted because a protocol proven secure in this model remains secure regardless of the context in which it is used. In other words, it can be “universally” composed with any set of other protocols. Our formulation of the UC model differs in several respects from the way it was originally formalized in the literature. We will hint at these differences as we go; some additional comments can be found in the Notes section of this chapter. Before we look at the formal details, let us start by discussing the basic ideas of how to define privacy and robustness of a protocol and last, but not least, why and how these two concepts should be defined via one common definition because they are closely entangled. Defining Privacy It is convenient to first look back on how we defined privacy in Chapter 3. Informally, we defined a protocol to be private (against corruptions of size t ) as follows: first, pick an input ( x 1 ,…, x n )for the protocol, and make a run of the protocol on this input. Then pick some C ⊂{P 1 ,…,P n } with | C | ≤ t and consider the values {view j }P j∈C , where view j is the view of party P j in the execution. The values {view j }P j ∈ C constitute exactly the information leaked to the corrupted parties, C , during an execution. In the following we therefore call the values {view j }P j ∈ C the leaked values. We then want to say that the leaked values do not allow the corrupted parties to learn anything that they should not learn. It is clear that the corrupted parties necessarily must learn their own inputs and outputs; in fact, this is the entire purpose of the protocol. We therefore call the values { x j , y j }P j ∈ C the allowed values.
Abstract Studies on smart grid and quantum mechanics have potential to yield several benefits to society, with the former resulting in economic and environmental benefits and the latter providing perfect security and privacy at affordable costs. Recently, security and privacy have become important issues in electrical power grids. In this paper, we describe two quantum privacy‐enhancing protocols: one of them requires that the parties initially share a certain amount of quantum entangled states, while the other uses only quantum key distribution methods without sharing quantum entangled states. The two proposed protocols are resistant to attacks from quantum computers. This paper also describes some recent advances of classical and quantum privacy‐enhancing technologies. Copyright © 2014 John Wiley & Sons, Ltd.