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package mirage-crypto-rng
Randomness
Secure random number generation.
There are several parts of this module:
- The signature of generator modules, together with a facility to convert such modules into actual generators, and functions that operate on this representation.
- A global generator instance, the default is Null, used when one is not explicitly supplied.
Usage notes
TL;DR Don't forget to seed; don't maintain your own g.
The RNGs here are merely the deterministic part of a full random number generation suite. For proper operation, they need to be seeded with a high-quality entropy source.
Suitable generators are provided by sub-libraries mirage-crypto-rng.unix and mirage-crypto-entropy (for MirageOS). Although this module exposes a more fine-grained interface, allowing manual seeding of generators, this is intended either for implementing entropy-harvesting modules, or very specialized purposes. Users of this library should almost certainly use one of the above entropy libraries, and avoid manually managing the generator seeding.
Similarly, although it is possible to swap the default generator and gain control over the random stream, this is also intended for specialized applications such as testing or similar scenarios where the RNG needs to be fully deterministic, or as a component of deterministic algorithms which internally rely on pseudorandom streams.
In the general case, users should not maintain their local instances of g. All of the generators in a process have to compete for entropy, and it is likely that the overall result will have lower effective unpredictability.
The recommended way to use these functions is either to accept an optional generator and pass it down, or to ignore the generator altogether, as illustrated in the examples.
Interface
Thrown when using an uninitialized generator.
module type Generator = sig ... endA single PRNG algorithm.
Ready-to-use RNG algorithms.
module Hmac_drbg : sig ... endHMAC_DRBG: A NIST-specified RNG based on HMAC construction over the provided hash.
create module uses a module conforming to the Generator signature to instantiate the generic generator g.
g is the state to use, otherwise a fresh one is created.
seed can be provided to immediately reseed the generator with.
strict puts the generator into a more standards-conformant, but slighty slower mode. Useful if the outputs need to match published test-vectors.
val generator : g Stdlib.refDefault generator. Functions in this module use this generator when not explicitly supplied one.
Swapping the generator is a way to subvert the random-generation process e.g. to make it fully deterministic. Don't do that unless you know what you're doing, but use Mirage_crypto_entropy.initialize or Mirage_crypto_rng_unix.initialize ().
generator defaults to Null.
val generate : ?g:g -> int -> Cstruct.tInvoke generate on g or default generator.
val block : g option -> intBlock size of g or default generator.
Examples
Generating a random 13-byte Cstruct.t:
let cs = Rng.generate 13Generating a list of Cstruct.t, passing down an optional generator:
let rec f1 ?g ~n i =
if i < 1 then [] else Rng.generate ?g n :: f1 ?g ~n (i - 1)Generating a Z.t smaller than 10:
let f2 ?g () = Mirage_crypto_pk.Z_extra.gen ?g Z.(~$10)Creating a local Fortuna instance and using it as a key-derivation function:
let f3 secret =
let g = Rng.(create ~seed:secret (module Generators.Fortuna)) in
Rng.generate ~g 32On This Page