RSA Key Generation. Required Reading. W. Stallings, "Cryptography and Network-Security, Chapter 8.3 Testing for Primality
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1 ECE646 Lecture RSA Key Generation Required Reading W. Stallings, "Cryptography and Network-Security, Chapter 8.3 Testing for Primality A.Menezes, P. van Oorschot, and S. Vanstone, Handbook of Applied Cryptography Chapter 4 Public-Key Parameters 4. Introduction 4.2 Probabilistic primality tests (you can skip Solvay-Strassen test) 4.4 Prime number generation (you can skip and 4.4.4)
2 prime number generation Generation of the RSA keys e Typically e = P, Q gcd(e, P-) = gcd(e, Q-) = gcd(e-, P-) = 2 gcd(e-, Q-) = 2 Extended Euclid s algorithm N = P Q d = e - mod (P-) (Q-) RSA as a trap-door one-way function PUBLIC KEY M C = f(m) = M e mod N C M = f - (C) = C d mod N PRIVATE KEY N = P Q P, Q - large prime numbers e d mod ((P-)(Q-)) 2
3 Concealment of messages in the RSA cryptosystem Blakley, Borosh, 979 At least 9 messages not concealed by RSA! Number of messages not concealed by RSA: σ = ( + gcd(e-, P-)) ( + gcd(e-, Q-)) A. e=3 σ = 9 B. gcd(e-, P-) = 2 and gcd(e-, Q-) = 2 σ = 9 C. gcd(e-, P-) = P- and gcd(e-, Q-) = Q- σ = P Q=N It is possible that all messages remain unconcealed by RSA! Random vs. Incremental Search Random search primes Incremental search numbers tested for primality starting point chosen at random 3
4 Is there a sufficent amount of prime numbers to choose from? π(x) - the amount of prime numbers smaller than x 0 x π(x) prime numbers π(x) = x ln(x) x 0 00 π(x) Is there a sufficent amount of prime numbers of the given bit length to choose from? π k - the amount of prime numbers of the size of k-bits 0 2 k- 2 k π k prime numbers π k = π(2 k ) - π(2 k- ) 0.5 π(2 k ) π(2 k- ) k π k
5 Average distance between primes of the given bit length () primes 2 k- 2 k Average distance between two consecutive primes Average distance (k) 2 k - 2 k- π k 2 k- π(2 k- ) ln 2 k (k-) Average distance between primes of the given bit length (2) Number of bits k Average distance between primes Average amount of odd numbers to test
6 Euler s Theorem Leonard Euler, a: gcd(a, N) = a ϕ(n) (mod N) Fermat s Theorem Pierre de Fermat, 60?-665 N prime a: gcd(a, N) = a N- (mod N) 6
7 Fermat primality test Fermat primality test n composite L(n) Liars to W(n) Witnesses to {..n-} a W(n) iff a n- mod n 7
8 n composite Carmichael number Carmichael Numbers L(n) Liars to W(n) Witnesses to {..n-} W(n) = {a: a n, gcd(a, n)>} L(n) = ϕ(n) W(n) = n ϕ(n) Carmichael Numbers A composite integer is a Carmichael number iff k 3 n= p p 2 p 3 p k p i are distinct primes, p i p j for i j p i (p i -) (n-) Smallest Carmichael number n = 56 = 3 7 Among all numbers smaller or equal to 0 5 There are about prime numbers 0 5 Carmichael numbers 8
9 Good probabilistic primality test n composite L(n) Liars to W(n) Witnesses to {..n-} n composite W(n) L(n) If a W(n) test returns n composite else test returns n probably prime or n pseudoprime to the base a Miller-Rabin test n composite L(n) Strong liars to W(n) Strong witnesses to {..n-} n composite L(n) ϕ(n)/4 < (n-)/4 9
10 Miller-Rabin test n composite L(n), n- Strong liars to W(n) Strong witnesses to For certain composite numbers, such as n = (2k+) there are only two strong liars: and n- {..n-} Miller-Rabin test Mathematical Basis If n is prime then has only two square roots modulo n i.e., there are only two numbers, y and y 2, such that y 2 mod n = and y 22 mod n = y = and y 2 =n- - mod n If n is composite then has at least four square roots modulo n i.e., there exist numbers, y, y 2, y 3, y 4, such that y 2 mod n =, y 2 2 mod n =, y 3 2 mod n =, y 4 2 mod n =, y =, y 2 =n- - mod n, y 3 ± mod n, y 4 ± mod n 0
11 Miller-Rabin test Algorithm () Find s and r, such that For example: n - = 2 s r, where r is odd n = 49 n - = 48 = s=4, r=3 n = 6 n- = 60 = s=2, r=5 Compute Miller-Rabin test Algorithm (2) a n- mod n = ( ((a r mod n) 2 mod n) 2 mod n ) 2 mod n = s squarings square mod n a r (a r ) 2 (a r ) 2 2 (a r ) (a r ) 2 s- (a r ) 2 s mod n square root mod n
12 Miller-Rabin test Algorithm (3) square mod n a r (a r ) 2 (a r ) 2 2 (a r ) (a r ) 2 s- (a r ) 2 s mod n X ± mod n square root mod n X X - X X - X X X X X X result of test probably prime or composite? Miller-Rabin test 2
13 -log 2 of the bound on the error probability of declaring a k-bit composite number a prime after t iterations of the Miller-Rabin test k = number of bits t - number of iterations of the Miller-Rabin test Minimal number of the Miller-Rabin tests t, necessary to obtain the probability of error < 2-00 for a k-bit number n k t k t k t over
14 Minimal number of the Miller-Rabin tests, t, for relatively small numbers n Random vs. Incremental Search Random search primes Incremental search numbers tested for primality starting point chosen at random 4
15 Using division by small primes primes numbers tested D D D D D D D D D D D D D D D D D R 2 R 2 R D Division by small primes R R 2 Miller-Rabin test with base 2 R R Miller-Rabin test with the random base a R R Merten s Theorem The proportion of candidate odd integers NOT ruled out by the trial division by all primes B α(b) = (-/3) (-/5) (-/7) (-/B) α(b).2 / ln B For B=256, α(b) % of tested numbers discarded by the trial division 5
16 Incremental search for a prime Efficient implementation of division by small primes Set of small primes n 0 = n 0 mod 3 = n 0 mod 5 = n 0 mod 7 = 0 n 0 mod = 3 n = mod 3= 0 +2 mod 5= mod 7= mod = 5 n = mod 3= mod 5= mod 7= mod = 7 n = mod 3= 0+2 mod 5= mod 7= mod = 9 n = mod 3= mod 5= mod 7= 9+2 mod = 0 n =0 0+2 mod 3= mod 5= +2 mod 7= mod = 2 Division by small primes Practical implementation (2) S[k]
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