pub struct ReseedingRng<R, Rsdr>(BlockRng<ReseedingCore<R, Rsdr>>)
where
R: BlockRngCore + SeedableRng,
Rsdr: RngCore;
Expand description
A wrapper around any PRNG that implements BlockRngCore
, that adds the
ability to reseed it.
ReseedingRng
reseeds the underlying PRNG in the following cases:
- On a manual call to
reseed()
. - After
clone()
, the clone will be reseeded on first use. - When a process is forked on UNIX, the RNGs in both the parent and child
processes will be reseeded just before the next call to
BlockRngCore::generate
, i.e. “soon”. For ChaCha and Hc128 this is a maximum of fifteenu32
values before reseeding. - After the PRNG has generated a configurable number of random bytes.
§When should reseeding after a fixed number of generated bytes be used?
Reseeding after a fixed number of generated bytes is never strictly necessary. Cryptographic PRNGs don’t have a limited number of bytes they can output, or at least not a limit reachable in any practical way. There is no such thing as ‘running out of entropy’.
Occasionally reseeding can be seen as some form of ‘security in depth’. Even if in the future a cryptographic weakness is found in the CSPRNG being used, or a flaw in the implementation, occasionally reseeding should make exploiting it much more difficult or even impossible.
Use ReseedingRng::new
with a threshold
of 0
to disable reseeding
after a fixed number of generated bytes.
§Limitations
It is recommended that a ReseedingRng
(including ThreadRng
) not be used
from a fork handler.
Use OsRng
or getrandom
, or defer your use of the RNG until later.
§Error handling
Although unlikely, reseeding the wrapped PRNG can fail. ReseedingRng
will
never panic but try to handle the error intelligently through some
combination of retrying and delaying reseeding until later.
If handling the source error fails ReseedingRng
will continue generating
data from the wrapped PRNG without reseeding.
Manually calling reseed()
will not have this retry or delay logic, but
reports the error.
§Example
use rand::prelude::*;
use rand_chacha::ChaCha20Core; // Internal part of ChaChaRng that
// implements BlockRngCore
use rand::rngs::OsRng;
use rand::rngs::adapter::ReseedingRng;
let prng = ChaCha20Core::from_entropy();
let mut reseeding_rng = ReseedingRng::new(prng, 0, OsRng);
println!("{}", reseeding_rng.gen::<u64>());
let mut cloned_rng = reseeding_rng.clone();
assert!(reseeding_rng.gen::<u64>() != cloned_rng.gen::<u64>());
Tuple Fields§
§0: BlockRng<ReseedingCore<R, Rsdr>>
Implementations§
source§impl<R, Rsdr> ReseedingRng<R, Rsdr>
impl<R, Rsdr> ReseedingRng<R, Rsdr>
sourcepub fn new(rng: R, threshold: u64, reseeder: Rsdr) -> Self
pub fn new(rng: R, threshold: u64, reseeder: Rsdr) -> Self
Create a new ReseedingRng
from an existing PRNG, combined with a RNG
to use as reseeder.
threshold
sets the number of generated bytes after which to reseed the
PRNG. Set it to zero to never reseed based on the number of generated
values.
Trait Implementations§
source§impl<R, Rsdr> Clone for ReseedingRng<R, Rsdr>
impl<R, Rsdr> Clone for ReseedingRng<R, Rsdr>
source§fn clone(&self) -> ReseedingRng<R, Rsdr>
fn clone(&self) -> ReseedingRng<R, Rsdr>
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl<R, Rsdr> Debug for ReseedingRng<R, Rsdr>
impl<R, Rsdr> Debug for ReseedingRng<R, Rsdr>
source§impl<R, Rsdr: RngCore> RngCore for ReseedingRng<R, Rsdr>where
R: BlockRngCore<Item = u32> + SeedableRng,
<R as BlockRngCore>::Results: AsRef<[u32]> + AsMut<[u32]>,
impl<R, Rsdr: RngCore> RngCore for ReseedingRng<R, Rsdr>where
R: BlockRngCore<Item = u32> + SeedableRng,
<R as BlockRngCore>::Results: AsRef<[u32]> + AsMut<[u32]>,
source§fn fill_bytes(&mut self, dest: &mut [u8])
fn fill_bytes(&mut self, dest: &mut [u8])
dest
with random data. Read moreimpl<R, Rsdr> CryptoRng for ReseedingRng<R, Rsdr>
Auto Trait Implementations§
impl<R, Rsdr> Freeze for ReseedingRng<R, Rsdr>
impl<R, Rsdr> RefUnwindSafe for ReseedingRng<R, Rsdr>
impl<R, Rsdr> Send for ReseedingRng<R, Rsdr>
impl<R, Rsdr> Sync for ReseedingRng<R, Rsdr>
impl<R, Rsdr> Unpin for ReseedingRng<R, Rsdr>
impl<R, Rsdr> UnwindSafe for ReseedingRng<R, Rsdr>
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
source§impl<T> CryptoRngCore for T
impl<T> CryptoRngCore for T
source§impl<R> Rng for R
impl<R> Rng for R
source§fn gen<T>(&mut self) -> Twhere
Standard: Distribution<T>,
fn gen<T>(&mut self) -> Twhere
Standard: Distribution<T>,
source§fn gen_range<T, R>(&mut self, range: R) -> Twhere
T: SampleUniform,
R: SampleRange<T>,
fn gen_range<T, R>(&mut self, range: R) -> Twhere
T: SampleUniform,
R: SampleRange<T>,
source§fn sample<T, D: Distribution<T>>(&mut self, distr: D) -> T
fn sample<T, D: Distribution<T>>(&mut self, distr: D) -> T
source§fn sample_iter<T, D>(self, distr: D) -> DistIter<D, Self, T> ⓘwhere
D: Distribution<T>,
Self: Sized,
fn sample_iter<T, D>(self, distr: D) -> DistIter<D, Self, T> ⓘwhere
D: Distribution<T>,
Self: Sized,
source§fn gen_bool(&mut self, p: f64) -> bool
fn gen_bool(&mut self, p: f64) -> bool
p
of being true. Read moresource§fn gen_ratio(&mut self, numerator: u32, denominator: u32) -> bool
fn gen_ratio(&mut self, numerator: u32, denominator: u32) -> bool
numerator/denominator
of being
true. I.e. gen_ratio(2, 3)
has chance of 2 in 3, or about 67%, of
returning true. If numerator == denominator
, then the returned value
is guaranteed to be true
. If numerator == 0
, then the returned
value is guaranteed to be false
. Read more