NextBytes(byte, SecureRandomParameters) and Some SecureRandom implementations may accept a Please note that reseed may not be supported by all The setSeed method requires the caller to provide the seed. Reads entropy input from its entropy source to reseed itself. This self-seeding will not occur if setSeedĪ SecureRandom can be reseeded at any time by calling the NextBytes will force it to seed itself from an implementation. To generate a given number of seed bytes (to seed other random numberĪ newly created PRNG SecureRandom object is not seeded (except SecureRandom random = new SecureRandom() Ĭallers may also invoke the generateSeed(int) method Typical callers of SecureRandom invoke the following methods Until it's actually used, but the effective instantiate parameters must beĭetermined right after it's created and getParameters() should An implementation may lazily instantiate a SecureRandom For example, even if the requestĭoes not require a certain feature, the actual instantiation can provide Implementation's effective instantiated parameters must match this minimum Specific algorithm supporting the specific instantiate parameters. The third statement above returns a SecureRandom object of the SecureRandom r3 = SecureRandom.getInstance("DRBG",ĭrbgParameters.instantiation(128, RESEED_ONLY, null)) SecureRandom r2 = SecureRandom.getInstance("NativePRNG") No-argument constructor or one of the getInstance methods. Other implementations may produce true random numbers,Īnd yet others may use a combination of both techniques.Ī caller obtains a SecureRandom instance via the To produce a pseudo-random sequence from a random seed. Pseudo-random number generator (PRNG, also known as deterministic randomīits generator or DRBG), which means they use a deterministic algorithm Many SecureRandom implementations are in the form of a RFC 4086: Randomness Requirements for Security. Unpredictable, and all SecureRandom output sequences must beĬryptographically strong, as described in Therefore any seed material passed to a SecureRandom object must be
Statistical random number generator tests specified inįIPS 140-2, Security Requirements for Cryptographic Modules,Īdditionally, SecureRandom must produce non-deterministic output. This class provides a cryptographically strong random numberĪ cryptographically strong random number minimally complies with the
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