LOCAL RANDOMNESS IN POLYNOMIAL RANDOM NUMBER AND RANDOM FUNCTION GENERATORS

Citation
H. Niederreiter et Cp. Schnorr, LOCAL RANDOMNESS IN POLYNOMIAL RANDOM NUMBER AND RANDOM FUNCTION GENERATORS, SIAM journal on computing, 22(4), 1993, pp. 684-694
Citations number
21
Categorie Soggetti
Computer Sciences","Computer Applications & Cybernetics
Journal title
ISSN journal
00975397
Volume
22
Issue
4
Year of publication
1993
Pages
684 - 694
Database
ISI
SICI code
0097-5397(1993)22:4<684:LRIPRN>2.0.ZU;2-7
Abstract
A distribution on n-bit strings is called (epsilon, e)-locally random, if for every choice of e less-than-or-equal-to n positions the induce d distribution on e-bit strings is in the L(l)-norm at most epsilon aw ay from the uniform distribution on e-bit strings. Local randomness in polynomial random number generators (RNG) that are candidate one-way functions is established. Let N be a squarefree integer and let f(l),. .., f(l) be polynomials with coefficients in Z(N) =Z/NZ. The RNG that stretches a random x is-an-element-of Z(N) into the sequence of least significant bits of fl(x),...,fe(x) is studied. It is shown that this RNG provides local randomness if for every prime divisor p of N the po lynomials f(l),...,f(l) are linearly independent modulo the subspace o f polynomials of degree less-than-or-equal-to 1 in Z(p)x!. Also estab lished is local randomness in polynomial random function generators. T his yields candidates for cryptographic hash functions. The concept of local randomness in families of functions extends the concept of univ ersal families of hash functions by Carter and Wegman J. Comput. Syst em Sci., 18 (1979) pp. 143-154!. The proofs of the results rely on upp er bounds for exponential sums.