Pollard's p − 1 algorithm

Pollard's p − 1 algorithm is a number theoretic integer factorization algorithm, invented by John Pollard in 1974. It is a special-purpose algorithm, meaning that it is only suitable for integers with specific types of factors; it is the simplest example of an algebraic-group factorisation algorithm.

The factors it finds are ones for which the number preceding the factor, p − 1, is powersmooth; the essential observation is that, by working in the multiplicative group modulo a composite number N, we are also working in the multiplicative groups modulo all of N's factors.

The existence of this algorithm leads to the concept of safe primes, being primes for which p − 1 is two times a Sophie Germain prime q and thus minimally smooth. These primes are sometimes construed as "safe for cryptographic purposes", but they might be unsafe — in current recommendations for cryptographic strong primes (e.g. ANSI X9.31), it is necessary but not sufficient that p − 1 has at least one large prime factor. Most sufficiently large primes are strong; if a prime used for cryptographic purposes turns out to be non-strong, it is much more likely to be through malice than through an accident of random number generation. This terminology is considered obsolete by the cryptography industry: the ECM factorization method is more efficient than Pollard's algorithm and finds safe prime factors just as quickly as it finds non-safe prime factors of similar size, thus the size of p is the key security parameter, not the smoothness of p-1.

Base concepts

Let n be a composite integer with prime factor p. By Fermat's little theorem, we know that for all integers a coprime to p and for all positive integers K:

$a^{K(p-1)}\equiv 1{\pmod {p}}$

If a number x is congruent to 1 modulo a factor of n, then the gcd(x − 1, n) will be divisible by that factor.

The idea is to make the exponent a large multiple of p − 1 by making it a number with very many prime factors; generally, we take the product of all prime powers less than some limit B. Start with a random x, and repeatedly replace it by $x^{w}{\bmod {n}}$ as w runs through those prime powers. Check at each stage, or once at the end if you prefer, whether gcd(x − 1, n) is not equal to 1.

Multiple factors

It is possible that for all the prime factors p of n, p − 1 is divisible by small primes, at which point the Pollard p − 1 algorithm simply returns n.

Algorithm and running time

The basic algorithm can be written as follows:

Inputs: n: a composite number

Output: a nontrivial factor of n or failure

1. select a smoothness bound B
2. define $M=\prod _{{\text{primes}}~q\leq B}q^{\lfloor \log _{q}{B}\rfloor }$ (note: explicitly evaluating M may not be necessary)
3. randomly pick a positive integer, a, which is coprime to n (note: we can actually fix a, e.g. if n is odd, then we can always select a = 2, random selection here is not imperative)
4. compute g = gcd(a^M − 1, n) (note: exponentiation can be done modulo n)
5. if 1 < g < n then return g
6. if g = 1 then select a larger B and go to step 2 or return failure
7. if g = n then select a smaller B and go to step 2 or return failure

If g = 1 in step 6, this indicates there are no prime factors p for which p-1 is B-powersmooth. If g = n in step 7, this usually indicates that all factors were B-powersmooth, but in rare cases it could indicate that a had a small order modulo n. Additionally, when the maximum prime factors of p-1 for each prime factors p of n are all the same in some rare cases, this algorithm will fail.

The running time of this algorithm is O(B × log B × log² n); larger values of B make it run slower, but are more likely to produce a factor.

Example

If we want to factor the number n = 299.

1. We select B = 5.
2. Thus M = 2² × 3¹ × 5¹.
3. We select a = 2.
4. g = gcd(a^M − 1, n) = 13.
5. Since 1 < 13 < 299, thus return 13.
6. 299 / 13 = 23 is prime, thus it is fully factored: 299 = 13 × 23.

Methods of choosing B

Since the algorithm is incremental, it is able to keep running with the bound constantly increasing.

Assume that p − 1, where p is the smallest prime factor of n, can be modelled as a random number of size less than √n. By Dixon's theorem, the probability that the largest factor of such a number is less than (p − 1)^1/ε is roughly ε^−ε; so there is a probability of about 3⁻³ = 1/27 that a B value of n^1/6 will yield a factorisation.

In practice, the elliptic curve method is faster than the Pollard p − 1 method once the factors are at all large; running the p − 1 method up to B = 2³² will find a quarter of all 64-bit factors and 1/27 of all 96-bit factors.

Two-stage variant

A variant of the basic algorithm is sometimes used; instead of requiring that p − 1 has all its factors less than B, we require it to have all but one of its factors less than some B₁, and the remaining factor less than some B₂ ≫ B₁. After completing the first stage, which is the same as the basic algorithm, instead of computing a new

$M'=\prod _{{\text{primes }}q\leq B_{2}}q^{\lfloor \log _{q}B_{2}\rfloor }$

for B₂ and checking gcd(a^M' − 1, n), we compute

$Q=\prod _{{\text{primes }}q\in (B_{1},B_{2}]}(H^{q}-1)$

where H = a^M and check if gcd(Q, n) produces a nontrivial factor of n. As before, exponentiations can be done modulo n.

Let {q₁, q₂, …} be successive prime numbers in the interval (B₁, B₂] and d_n = q_n − q_n−1 the difference between consecutive prime numbers. Since typically B₁ > 2, d_n are even numbers. The distribution of prime numbers is such that the d_n will all be relatively small. It is suggested that d_n ≤ ln² B₂. Hence, the values of H², H⁴, H⁶, … (mod n) can be stored in a table, and H^q_n be computed from H^q_n−1⋅H^d_n, saving the need for exponentiations.

Implementations

• The GMP-ECM package includes an efficient implementation of the p − 1 method.
• Prime95 and MPrime, the official clients of the Great Internet Mersenne Prime Search, use a modified version of the p - 1 algorithm to eliminate potential candidates.

See also

• Williams's p 1 algorithm

References

• Pollard, J. M. (1974). "Theorems of factorization and primality testing". Proceedings of the Cambridge Philosophical Society. 76 (3): 521–528. Bibcode:1974PCPS...76..521P. doi:10.1017/S0305004100049252. S2CID 122817056.
• Montgomery, P. L.; Silverman, R. D. (1990). "An FFT extension to the P − 1 factoring algorithm". Mathematics of Computation. 54 (190): 839–854. Bibcode:1990MaCom..54..839M. doi:10.1090/S0025-5718-1990-1011444-3.
• Samuel S. Wagstaff, Jr. (2013). The Joy of Factoring. Providence, RI: American Mathematical Society. pp. 138–141. ISBN 978-1-4704-1048-3.