Class Primes


  • public abstract class Primes
    extends java.lang.Object
    Utility methods for generating primes and testing for primality.
    • Constructor Summary

      Constructors 
      Constructor Description
      Primes()  
    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static Primes.MROutput enhancedMRProbablePrimeTest​(java.math.BigInteger candidate, java.security.SecureRandom random, int iterations)
      FIPS 186-4 C.3.2 Enhanced Miller-Rabin Probabilistic Primality Test Run several iterations of the Miller-Rabin algorithm with randomly-chosen bases.
      static Primes.STOutput generateSTRandomPrime​(Digest hash, int length, byte[] inputSeed)
      FIPS 186-4 C.6 Shawe-Taylor Random_Prime Routine Construct a provable prime number using a hash function.
      static boolean hasAnySmallFactors​(java.math.BigInteger candidate)
      A fast check for small divisors, up to some implementation-specific limit.
      static boolean isMRProbablePrime​(java.math.BigInteger candidate, java.security.SecureRandom random, int iterations)
      FIPS 186-4 C.3.1 Miller-Rabin Probabilistic Primality Test Run several iterations of the Miller-Rabin algorithm with randomly-chosen bases.
      static boolean isMRProbablePrimeToBase​(java.math.BigInteger candidate, java.math.BigInteger base)
      FIPS 186-4 C.3.1 Miller-Rabin Probabilistic Primality Test (to a fixed base).
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • Primes

        public Primes()
    • Method Detail

      • generateSTRandomPrime

        public static Primes.STOutput generateSTRandomPrime​(Digest hash,
                                                            int length,
                                                            byte[] inputSeed)
        FIPS 186-4 C.6 Shawe-Taylor Random_Prime Routine Construct a provable prime number using a hash function.
        Parameters:
        hash - the Digest instance to use (as "Hash()"). Cannot be null.
        length - the length (in bits) of the prime to be generated. Must be at least 2.
        inputSeed - the seed to be used for the generation of the requested prime. Cannot be null or empty.
        Returns:
        an Primes.STOutput instance containing the requested prime.
      • enhancedMRProbablePrimeTest

        public static Primes.MROutput enhancedMRProbablePrimeTest​(java.math.BigInteger candidate,
                                                                  java.security.SecureRandom random,
                                                                  int iterations)
        FIPS 186-4 C.3.2 Enhanced Miller-Rabin Probabilistic Primality Test Run several iterations of the Miller-Rabin algorithm with randomly-chosen bases. This is an alternative to isMRProbablePrime(BigInteger, SecureRandom, int) that provides more information about a composite candidate, which may be useful when generating or validating RSA moduli.
        Parameters:
        candidate - the BigInteger instance to test for primality.
        random - the source of randomness to use to choose bases.
        iterations - the number of randomly-chosen bases to perform the test for.
        Returns:
        an Primes.MROutput instance that can be further queried for details.
      • hasAnySmallFactors

        public static boolean hasAnySmallFactors​(java.math.BigInteger candidate)
        A fast check for small divisors, up to some implementation-specific limit.
        Parameters:
        candidate - the BigInteger instance to test for division by small factors.
        Returns:
        true if the candidate is found to have any small factors, false otherwise.
      • isMRProbablePrime

        public static boolean isMRProbablePrime​(java.math.BigInteger candidate,
                                                java.security.SecureRandom random,
                                                int iterations)
        FIPS 186-4 C.3.1 Miller-Rabin Probabilistic Primality Test Run several iterations of the Miller-Rabin algorithm with randomly-chosen bases.
        Parameters:
        candidate - the BigInteger instance to test for primality.
        random - the source of randomness to use to choose bases.
        iterations - the number of randomly-chosen bases to perform the test for.
        Returns:
        false if any witness to compositeness is found amongst the chosen bases (so candidate is definitely NOT prime), or else true (indicating primality with some probability dependent on the number of iterations that were performed).
      • isMRProbablePrimeToBase

        public static boolean isMRProbablePrimeToBase​(java.math.BigInteger candidate,
                                                      java.math.BigInteger base)
        FIPS 186-4 C.3.1 Miller-Rabin Probabilistic Primality Test (to a fixed base). Run a single iteration of the Miller-Rabin algorithm against the specified base.
        Parameters:
        candidate - the BigInteger instance to test for primality.
        base - the base value to use for this iteration.
        Returns:
        false if the specified base is a witness to compositeness (so candidate is definitely NOT prime), or else true.