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A constructive theory of randomness for functions, based on computational complexity, is developed, and a pseudorandom function generator is presented. This generator is a deterministic polynomial-time algorithm that transforms pairs ( g , r ), where g is any one-way function and r is a random k -bit string, to polynomial-time computable functions ƒ r : {1, … , 2 k } → {1, … , 2 k }. These ƒ r 's cannot be distinguished from random functions by any probabilistic polynomial-time algorithm that asks and receives the value of a function at arguments of its choice. The result has applications in cryptography, random constructions, and complexity theory.
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