Secure Random Key Generation Algorithm
- Secure Random Key Generation Algorithm In Cryptography
- Secure Random Key Generation Algorithm Examples
A cryptographically strong random number minimally complies with the statistical random number generator tests specified in FIPS 140-2, Security Requirements for Cryptographic Modules, section 4.9.1. Additionally, SecureRandom must produce non-deterministic output. Therefore any seed material passed to a SecureRandom object must be unpredictable, and all SecureRandom output sequences must be cryptographically strong, as described in RFC 1750: Randomness Recommendations for Security.
Not all key generation methods are created equal, and you may want to explicitly choose e.g. The key generation method of a provider. This is especially of use for providers for security tokens. For AES though, the random number generator may be of more importance - you may for instance want to use a slower, more secure, FIPS certified random. For the key generation, I have written a util using jdk's UUID class, it's also secure random. And, for the secret generation, I have written a util using jdk's KeyGenerator class to generate a SecretKey instance with SHA512 or SHA256 algorithm, it's also secure random, right? – Eric Wang Feb 23 '18 at 17:39.
Secure Random Key Generation Algorithm In Cryptography
A caller obtains a SecureRandom instance via the no-argument constructor or one of the getInstance methods:
Many SecureRandom implementations are in the form of a pseudo-random number generator (PRNG), which means they use a deterministic algorithm to produce a pseudo-random sequence from a true random seed. Other implementations may produce true random numbers, and yet others may use a combination of both techniques.
Typical callers of SecureRandom invoke the following methods to retrieve random bytes:
Secure Random Key Generation Algorithm Examples
Callers may also invoke the generateSeed method to generate a given number of seed bytes (to seed other random number generators, for example): Note: Depending on the implementation, the generateSeed and nextBytes methods may block as entropy is being gathered, for example, if they need to read from /dev/random on various Unix-like operating systems.