We derive impossibility (converse) bounds for the efficiency of implementing information theoretically secure oblivious transfer and bit commitment using correlated observations. Our approach is based on relating these problems to that of testing if the observations of the parties are conditionally independent given the adversary's observation. The resulting bounds strengthen and improve upon several previously known results.
We derive impossibility (converse) bounds for the efficiency of implementing information theoretically secure oblivious transfer and bit commitment using correlated observations. Our approach is based on relating these problems to that of testing if the observations of the parties are conditionally independent given the adversary's observation. The resulting bounds strengthen and improve upon several previously known results.
We consider information theoretic secret key agreement and secure function computation by multiple parties observing correlated data, with access to an interactive public communication channel. Our main result is an upper bound on the secret key length, which is derived using a reduction of binary hypothesis testing to multiparty secret key agreement. Building on this basic result, we derive new converses for multiparty secret key agreement. Furthermore, we derive converse results for the oblivious transfer problem and the bit commitment problem by relating them to secret key agreement. Finally, we derive a necessary condition for the feasibility of secure computation by trusted parties that seek to compute a function of their collective data, using an interactive public communication that by itself does not give away the value of the function. In many cases, we strengthen and improve upon previously known converse bounds. Our results are single-shot and use only the given joint distribution of the correlated observations. For the case when the correlated observations consist of independent and identically distributed (in time) sequences, we derive strong versions of previously known converses.
We consider information theoretic secret key (SK) agreement and secure function computation by multiple parties observing correlated data, with access to an interactive public communication channel. Our main result is an upper bound on the SK length, which is derived using a reduction of binary hypothesis testing to multiparty SK agreement. Building on this basic result, we derive new converses for multiparty SK agreement. Furthermore, we derive converse results for the oblivious transfer problem and the bit commitment problem by relating them to SK agreement. Finally, we derive a necessary condition for the feasibility of secure computation by trusted parties that seek to compute a function of their collective data, using an interactive public communication that by itself does not give away the value of the function. In many cases, we strengthen and improve upon previously known converse bounds. Our results are single-shot and use only the given joint distribution of the correlated observations. For the case when the correlated observations consist of independent and identically distributed (in time) sequences, we derive strong versions of previously known converses.
Oblivious transfer is a primitive of paramount importance in cryptography or, more precisely, two- and multi-party computation due to its universality. Unfortunately, oblivious transfer cannot be achieved in an unconditionally secure way for both parties from scratch. Therefore, it is a natural question what information-theoretic primitives or computational assumptions oblivious transfer can be based on. The results in our thesis are threefold. First, we present a protocol that implements oblivious transfer from a weakened oblivious transfer called universal oblivious transfer, where one of the two players may get additional information. Our reduction is about twice as efficient as previous results. Weak oblivious transfer is an even weaker form of oblivious transfer, where both players may obtain additional information about the other player's input, and where the output can contain errors. We give a new, weaker definition of weak oblivious transfer, as well as new reductions with a more detailed analysis. Finally, we carry over our results to the computational setting and show how a weak oblivious transfer that is sometimes incorrect and only mildly secure against computationally bounded adversaries can be strengthened.
Oblivious transfer is a fundamental primitive in cryptography. While perfect information theoretic security is impossible, quantum oblivious transfer protocols can limit the dishonest player's cheating. Finding the optimal security parameters in such protocols is an important open question. In this paper we show that every 1-out-of-2 oblivious transfer protocol allows a dishonest party to cheat with probability bounded below by a constant strictly larger than 1/2. Alice's cheating is defined as her probability of guessing Bob's index, and Bob's cheating is defined as his probability of guessing both input bits of Alice. In our proof, we relate these cheating probabilities to the cheating probabilities of a bit commitment protocol and conclude by using lower bounds on quantum bit commitment. Then, we present an oblivious transfer protocol with two messages and cheating probabilities at most 3/4. Last, we extend Kitaev's semidefinite programming formulation to more general primitives, where the security is against a dishonest player trying to force the outcome of the other player, and prove optimal lower and upper bounds for them.
Oblivious transfer is an important primitive in modern cryptography.Applications include secure multiparty computation, oblivious sampling, e-voting, and signatures.Information-theoretically secure perfect 1-out-of 2 oblivious transfer is impossible to achieve.Imperfect variants, where both participants' ability to cheat is still limited, are possible using quantum means while remaining classically impossible.Precisely what security parameters are attainable remains unknown.We introduce a theoretical framework for studying semirandom quantum oblivious transfer, which is shown to be equivalent to regular oblivious transfer in terms of cheating probabilities.We then use it to derive bounds on cheating.We also present a protocol with lower cheating probabilities than previous schemes, together with its optical realization.We show that a lower bound of 2 3 on the minimum achievable cheating probability can be directly derived for semirandom protocols using a different method and definition of cheating than used previously.The lower bound increases from 23 to approximately 0.749 if the states output by the protocol are pure and symmetric.The oblivious transfer scheme we present uses unambiguous state elimination measurements and can be implemented with the same technological requirements as standard quantum cryptography.In particular, it does not require honest participants to prepare or measure entangled states.The cheating probabilities are 3 4 and approximately 0.729 for sender and receiver, respectively, which is lower than in existing protocols.Using a photonic testbed, we have implemented the protocol with honest parties, as well as optimal cheating strategies.Because of the asymmetry of the receiver's and sender's cheating probabilities, the protocol can be combined with a "trivial" protocol to achieve an overall protocol with lower average cheating probabilities of approximately 0.74 for both sender and receiver.This demonstrates that, interestingly, protocols where the final output states are pure and symmetric are not optimal in terms of average cheating probability.