We show that some problems in information security can be solved without using one-way functions. The latter are usually regarded as a central concept of cryptography, but the very existence of one-way functions depends on difficult conjectures in complexity theory, most notably on the notorious “” conjecture. This is why cryptographic primitives that do not employ one-way functions are often called “unconditionally secure”. In this paper, we suggest protocols for secure computation of the sum, product, and some other functions of two or more elements of an arbitrary constructible ring, without using any one-way functions. A new input that we offer here is that, in contrast with other proposals, we conceal “intermediate results” of a computation. For example, when we compute the sum of k numbers, only the final result is known to the parties; partial sums are not known to anybody. Other applications of our method include voting/rating over insecure channels and a rather elegant and efficient solution of the “two millionaires problem”. Then, while it is fairly obvious that a secure (bit) commitment between two parties is impossible without a one-way function, we show that it is possible if the number of parties is at least 3. We also show how our unconditionally secure (bit) commitment scheme for three parties can be used to arrange an unconditionally secure (bit) commitment between just two parties if they use a “dummy” (e.g., a computer) as the third party. We explain how our concept of a “dummy” is different from the well-known concept of a “trusted third party”. Based on a similar idea, we also offer an unconditionally secure k - n oblivious transfer protocol between two parties who use a “dummy”. We also suggest a protocol, without using a one-way function, for the so-called “mental poker”, i.e., a fair card dealing (and playing) over distance. Finally, we propose a secret sharing scheme where an advantage over Shamir's and other known secret sharing schemes is that nobody, including the dealer, ends up knowing the shares (of the secret) owned by any particular player. It should be mentioned that computational cost of our protocols is negligible to the point that all of them can be executed without a computer.
We show that some problems in information security can be solved without using one-way functions. The latter are usually regarded as a central concept of cryptography, but the very existence of one-way functions depends on difficult conjectures in complexity theory, most notably on the notorious “” conjecture. This is why cryptographic primitives that do not employ one-way functions are often called “unconditionally secure”. In this paper, we suggest protocols for secure computation of the sum, product, and some other functions of two or more elements of an arbitrary constructible ring, without using any one-way functions. A new input that we offer here is that, in contrast with other proposals, we conceal “intermediate results” of a computation. For example, when we compute the sum of k numbers, only the final result is known to the parties; partial sums are not known to anybody. Other applications of our method include voting/rating over insecure channels and a rather elegant and efficient solution of the “two millionaires problem”. Then, while it is fairly obvious that a secure (bit) commitment between two parties is impossible without a one-way function, we show that it is possible if the number of parties is at least 3. We also show how our unconditionally secure (bit) commitment scheme for three parties can be used to arrange an unconditionally secure (bit) commitment between just two parties if they use a “dummy” (e.g., a computer) as the third party. We explain how our concept of a “dummy” is different from the well-known concept of a “trusted third party”. Based on a similar idea, we also offer an unconditionally secure k - n oblivious transfer protocol between two parties who use a “dummy”. We also suggest a protocol, without using a one-way function, for the so-called “mental poker”, i.e., a fair card dealing (and playing) over distance. Finally, we propose a secret sharing scheme where an advantage over Shamir's and other known secret sharing schemes is that nobody, including the dealer, ends up knowing the shares (of the secret) owned by any particular player. It should be mentioned that computational cost of our protocols is negligible to the point that all of them can be executed without a computer.
We show that some problems in information security can be solved without using one-way functions.The latter are usually regarded as a central concept of cryptography, but the very existence of one-way functions depends on difficult conjectures in complexity theory, most notably on the notorious "P = N P " conjecture.This is why cryptographic primitives that do not employ one-way functions are often called "unconditionally secure".In this paper, we suggest protocols for secure computation of the sum, product, and some other functions of two or more elements of an arbitrary constructible ring, without using any one-way functions.A new input that we offer here is that, in contrast with other proposals, we conceal "intermediate results" of a computation.For example, when we compute the sum of k numbers, only the final result is known to the parties; partial sums are not known to anybody.Other applications of our method include voting/rating over insecure channels and a rather elegant and efficient solution of the "two millionaires problem".Then, while it is fairly obvious that a secure (bit) commitment between two parties is impossible without a one-way function, we show that it is possible if the number of parties is at least 3.We also show how our unconditionally secure (bit) commitment scheme for 3 parties can be used to arrange an unconditionally secure (bit) commitment between just two parties if they use a "dummy" (e.g., a computer) as the third party.We explain how our concept of a "dummy" is different from a wellknown concept of a "trusted third party".Based on a similar idea, we also offer an unconditionally secure k-n oblivious transfer protocol between two parties who use a "dummy".We also suggest a protocol, without using a one-way function, for the so-called "mental poker", i.e., a fair card dealing (and playing) over distance.Finally, we propose a secret sharing scheme where an advantage over Shamir's and other known secret sharing schemes is that nobody, including the dealer, ends up knowing the shares (of the secret) owned by any particular player.It should be mentioned that computational cost of our protocols is negligible to the point that all of them can be executed without a computer.
We show that some problems in cryptography can be solved without using one-way functions. The latter are usually regarded as a central concept of cryptography, but the very existence of one-way functions depends on difficult conjectures in complexity theory, most notably on the notorious “P ̸ = NP ” conjecture. This is why cryptographic primitives that do not employ one-way functions are often called “unconditionally secure”. In this paper, we suggest protocols for secure computation of the sum, product, and some other functions of two or more elements of an arbitrary constructible ring, without using any one-way functions. A new input that we offer here is that, in contrast with other proposals, we conceal “intermediate results ” of a computation. For example, when we compute the sum of k numbers, only the final result is known to (one of) the parties; partial sums are not known to anybody. Other applications of our method include voting/rating over insecure channels and a rather elegant and efficient solution of the “two millionaires problem”. While it is fairly obvious that a secure (bit) commitment between two parties is
Two millionaires wish to know who is richer; however, they do not want to find out inadvertently any additional information about each other’s wealth. How can they carry out such a conversation? This is a special case of the following general problem. Suppose m people wish to compute the value of a function f(x1, x2, x3, . . . , xm), which is an integer-valued function of m integer variables xi of bounded range. Assume initially person Pi knows the value of xi and no other x’s. Is it possible for them to compute the value of f , by communicating among themselves, without unduly giving away any information about the values of their own variables? The millionaires’ problem corresponds to the case when m = 2 and f(x1, x2) = 1 if x1 < x2, and 0 otherwise. In this paper, we will give precise formulation of this general problem and describe three ways of solving it by use of one-way functions (i.e., functions which are easy to evaluate but hard to invert). These results have applications to secret voting, private querying of database, oblivious negotiation, playing mental poker, etc. We will also discuss the complexity question “How many bits need to be exchanged for the computation”, and describe methods to prevent participants from cheating. Finally, we study the question “What cannot be accomplished with one-way functions”. Before describing these results, we would like to put this work in perspective by first considering a unified view of secure computation in the next section.
In cryptographic protocols, honest parties would prefer that their security is assured even in presence of adversarial parties who have unbounded computational power. Information theoretic secure realization of cryptographic primitives provides such guarantees; but for most tasks such strong security guarantees cannot be provided for any reasonable notion of security. The standard technique used in cryptography is to assume the existence of some puzzle, whose hard instances are easy to generate but no efficient algorithm can solve them. Such assumptions, which define intractable problems for efficient algorithms, are called computational intractability assumptions.
In this work, we motivate a study of computational intractability assumptions which is goal driven and lends support to the fundamental nature of some of the traditional assumptions beyond being historical accidents. Secure multi-party computation deals with the study of constructing secure protocols for general cryptographic tasks which conform to various notions of security. Inspired by complexity theory, we use the notion of reduction to further our understanding of computational intractability assumptions. Our framework explores the hardness of natural assumptions of the form: “Task F can be securely computed given an ideally secure facility for computing G ”.
Formally, we characterize the minimal computational intractability assumption which is sufficient to securely realize a functionality using trusted copies of some other functionality. A functionality F reduces to G , similar to the complexity-theoretic notion of reduction, if F can be securely realized when parties can access trusted copies of G . Thus, if F does not reduce to G information-theoretically, we are interested in characterizing the minimal assumption, which is sufficient, to securely realize the reduction of F to G .
In our framework, we explore the relative strengths of these minimal computational assumptions. The fundamental problem, then, is to establish relations, like implication, equivalence and separation, among the assumptions which correspond to various reductions. In this work, we further our understanding of the minimal computational assumptions corresponding to such reductions by showing the following results:
1. We identify a spectrum for the set of assumptions that correspond to reduction between a pair of tasks under different security notions. These reductions are implied by the computational intractability assumption: “semi-honest secure protocol for oblivious transfer exists” (sh-OT assumption). Additionally, the information theoretically impossible reductions considered in this thesis imply the assumption: “one-way functions exist” (OWF assumption). We conjecture that OWF assumption is necessary for these reductions. In fact, the reductions considered in this thesis are either information theoretically true, false, equivalent to OWF assumption or equivalent to sh-OT assumption [MPR10a].
We expand our study to encompass reductions involving randomized functionalities and study the consequences of providing parties with a trusted source of common unbiased coins. For a strong notion of security they turn out to be useless and unless sh-OT assumption holds these randomness sources are not useful [MOPR11, MP11].
2. We [MPS10] seek to lend additional support to the widely believed premise that “non-trivial cryptography entails the existence of one-way functions”. We show that (constant round) weak coin-tossing protocols, imply OWF assumption. For the general problem, i.e. secure weak coin-tossing protocols with polynomial round complexity, we show a slightly weaker implication NP n BPP.
3. Finally, we indicate the possibility of a wide range of intractability assumptions in our spectrum, intermediate to OWF assumption and sh-OT assumption. We show that a class of natural assumptions corresponding to reductions that are relativistically separated from OWF assumption. Similar techniques have been used to show their separation from the assumption that “public-key encryption exists” (PKE assumption) [MMP11]; but these assumptions are not known to imply sh-OT assumption. We conjecture that, in fact, sh-OT assumption is relativistically separated from these assumptions.
It had been widely claimed that quantum mechanics can protect private information during public decision in, for example, the so-called two-party secure computation. If this were the case, quantum smart-cards, storing confidential information accessible only to a proper reader, could prevent fake teller machines from learning the PIN (personal identification number) from the customers' input. Although such optimism has been challenged by the recent surprising discovery of the insecurity of the so-called quantum bit commitment, the security of quantum two-party computation itself remains unaddressed. Here I answer this question directly by showing that all one-sided two-party computations (which allow only one of the two parties to learn the result) are necessarily insecure. As corollaries to my results, quantum one-way oblivious password identification and the so-called quantum one-out-of-two oblivious transfer are impossible. I also construct a class of functions that cannot be computed securely in any two-sided two-party computation. Nevertheless, quantum cryptography remains useful in key distribution and can still provide partial security in ``quantum money'' proposed by Wiesner.
The security of digital goods buyers and sellers is unbalanced. Of course, the property of sellers is protected; for example, when customers acquire digital books or films from Internet's merchants, they only receive the products they have paid for. Unfortunately, the buyers' privacy is rarely respected: purchases are often — without the buyers' knowledge — monitored, recorded, analysed, and sometimes sold to marketing companies. As a consequence, even if the customers do not intend to acquire additional products, their computer screens are later invaded with targeted advertisements. The main purpose of this thesis is to propose some methods to restore the balance and guarantee the buyers' privacy, while protecting the interests of the sellers. To this end, it is worth looking into the area of cryptography and more specifically, it is worth studying and designing some protocols called distributed oblivious transfer (DOT) protocols. A DOT protocol allows a party A to obtain one of the secret pieces of information (a secret for short) held by a party B so that the following two fundamental conditions are satisfied: • A chooses the secrets she wishes to obtain and does not obtain anything on the secrets she has not chosen, • B does not learn which secret was obtained by A. Furthermore, to improve the availability of the information, the protocol is distributed. That is, the party B transmits his secret information to m servers and the party A needs to contact at least k of these servers to obtain the chosen secret. The servers are not fully trusted, neither by A, nor by B. Therefore, from the information exchanged with A and B, no coalition of servers should be able to learn the secrets of B or the choice of A. The results of a preliminary literature review are surprising. In fact, the number of publications on DOT protocols is small (fewer than 20) compared to, for example, the number of publications on a similar concept, secret sharing (100s of publications). And yet, oblivious transfer is a fundamental component of more complex cryptographic protocols such as multi-party computation protocols, which allow a group of participants to securely calculate any function of their joint secret inputs. So, one could expect many variants, for example of the original DOT protocol introduced in 2002 by Naor and Pinkas [74], to fulfil the requirements of specific scenarios. The design of variants of DOT protocols in traditional cryptography has been the guiding thread of my research. My contribution mainly consists in (a) a critical analysis of the existing protocols, demonstrating their limitations, weaknesses, and in some cases, flaws; and (b) the design of the following protocols,well adapted to some specific situations: A Strongly Secure DOT Protocol. This DOT protocol addresses the most important weakness of unconditionally secure, one-round, polynomial interpolation-based DOT protocols: after the protocol has been executed, if the party A corrupts only one server, she can learn all the secrets of the party B. The protocol is secure even if A corrupts up to k - 1 servers. A Verifiable DOT Protocol. The party A should obtain the secret she has chosen, even when some servers are controlled by a malicious adversary whose objective is to sabotage the protocol. This is the case with this protocol, assuming that the adversary cannot control more than k - 1 servers. A Multiple Secrets DOT Protocol. When the party A wishes to obtain n > 1 secrets, the current protocols have to be executed n times. In this context, they are inefficient. The DOT protocol introduced here allows the party A, by contacting in the same session k - 1 + n servers, to collect n secrets. Adaptive DOT Protocols. The previous protocol allows the party A to request several secrets. However, the request of one secret may depend on the values of secrets already obtained. Two efficient protocols are presented in this scenario. The first one allows A to receive a limited number of secrets and therefore, is well adapted to a single receiver. For several receivers, a second protocol is proposed. This second protocol accepts an unlimited number of queries, but requires communications amongst the servers. A Threshold DOT protocol. Most existing DOT protocols rely on threshold secret sharing schemes. In a k-threshold protocol or scheme, security is guaranteed not only when k parties are contacted, but also when more than k parties are contacted. However, the existing DOT protocols based on k-threshold secret sharing schemes require an additional mechanism to control that exactly k servers are contacted, which is an under-utilisation of the underlying functionality. The proposed protocol is the first k-threshold DOT protocol which allows the party A to contact as many servers as she wishes to obtain the chosen secret, provided that at least k servers are contacted. This research is limited to unconditionally secure protocols, i.e., protocols whose security does not depend on mathematical (unproven) assumptions; within the limits of the given security models, the protocols are secure even against an adversary with unlimited computing power and time. In brief, the results presented in this thesis are a significant advance to the state of the art research on DOT protocols because on one hand, they point out the weaknesses of the DOT protocols most commonly accepted by the cryptographic community and on the other hand, they contribute to the cryptographic field through the design of new protocols, secure and efficient.