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One particular motivating example is the use of commitment schemes in zero-knowledge proofs.Commitments are used in zero-knowledge proofs for two main purposes: first, to allow the prover to participate in "cut and choose" proofs where the verifier will be presented with a choice of what to learn, and the prover will reveal only what corresponds to the verifier's choice.
Cryptographic attacks that subvert or exploit weaknesses in this process are known as random number generator attacks. A high quality random number generation (RNG) process is almost always required for security, and lack of quality generally provides attack vulnerabilities and so leads to lack of security, even to complete compromise, in ...
Nelson began using random event generator (REG) technology in the field to study effects of special states of group consciousness. [ 7 ] In an extension of the laboratory research utilizing hardware Random Event Generators (REG) [ 8 ] called FieldREG, investigators examined the outputs of REGs in the field before, during and after highly ...
Scams and confidence tricks are difficult to classify, because they change often and often contain elements of more than one type. Throughout this list, the perpetrator of the confidence trick is called the "con artist" or simply "artist", and the intended victim is the "mark".
Simulation: Drawing one pseudo-random uniform variable from the interval [0,1] can be used to simulate the tossing of a coin: If the value is less than or equal to 0.50 designate the outcome as heads, but if the value is greater than 0.50 designate the outcome as tails. This is a simulation, but not a Monte Carlo simulation.
is small when compared with the alternative hypothesis (a biased coin). However, it is not small enough to cause us to believe that the coin has a significant bias. This probability is slightly higher than our presupposition of the probability that the coin was fair corresponding to the uniform prior distribution, which was 10%. Using a prior ...
In the asymptotic setting, a family of deterministic polynomial time computable functions : {,} {,} for some polynomial p, is a pseudorandom number generator (PRNG, or PRG in some references), if it stretches the length of its input (() > for any k), and if its output is computationally indistinguishable from true randomness, i.e. for any probabilistic polynomial time algorithm A, which ...