A cryptographically secure random number generator that uses the ChaCha
algorithm.
ChaCha is a stream cipher designed by Daniel J. Bernstein 1, that we use
as an RNG. It is an improved variant of the Salsa20 cipher family, which was
selected as one of the "stream ciphers suitable for widespread adoption" by
eSTREAM 2.
ChaCha uses add-rotate-xor (ARX) operations as its basis. These are safe
against timing attacks, although that is mostly a concern for ciphers and
not for RNGs. Also it is very suitable for SIMD implementation.
Here we do not provide a SIMD implementation yet, except for what is
provided by auto-vectorisation.
With the ChaCha algorithm it is possible to choose the number of rounds the
core algorithm should run. The number of rounds is a tradeoff between
performance and security, where 8 rounds is the minimum potentially
secure configuration, and 20 rounds is widely used as a conservative choice.
We use 20 rounds in this implementation, but hope to allow type-level
configuration in the future.
We use a 64-bit counter and 64-bit stream identifier as in Benstein's
implementation 1 except that we use a stream identifier in place of a
nonce. A 64-bit counter over 64-byte (16 word) blocks allows 1 ZiB of output
before cycling, and the stream identifier allows 264 unique
streams of output per seed. Both counter and stream are initialized to zero
but may be set via set_word_pos
and set_stream
.
The word layout is:
constant constant constant constant
seed seed seed seed
seed seed seed seed
counter counter nonce nonce
This implementation uses an output buffer of sixteen u32
words, and uses
BlockRng
to implement the RngCore
methods.
Deprecated since 0.5.0
: use the FromEntropy or SeedableRng trait
Create an ChaCha random number generator using the default
fixed key of 8 zero words.
use rand::{RngCore, ChaChaRng};
let mut ra = ChaChaRng::new_unseeded();
println!("{:?}", ra.next_u32());
println!("{:?}", ra.next_u32());
Since this equivalent to a RNG with a fixed seed, repeated executions
of an unseeded RNG will produce the same result. This code sample will
consistently produce:
Set the stream number.
This is initialized to zero; 264 unique streams of output
are available per seed/key.
Note that in order to reproduce ChaCha output with a specific 64-bit
nonce, one can convert that nonce to a u64
in little-endian fashion
and pass to this function. In theory a 96-bit nonce can be used by
passing the last 64-bits to this function and using the first 32-bits as
the most significant half of the 64-bit counter (which may be set
indirectly via set_word_pos
), but this is not directly supported.
Performs copy-assignment from source
. Read more
Formats the value using the given formatter. Read more
Fill dest
entirely with random data. Read more
Seed type, which is restricted to types mutably-dereferencable as u8
arrays (we recommend [u8; N]
for some N
). Read more
Create a new PRNG using the given seed. Read more
Create a new PRNG seeded from another Rng
. Read more
Return a random value supporting the [Standard
] distribution. Read more
Generate a random value in the range [low
, high
), i.e. inclusive of low
and exclusive of high
. Read more
Sample a new value, using the given distribution. Read more
Important traits for DistIter<'a, D, R, T>
impl<'a, D, R, T> Iterator for DistIter<'a, D, R, T> where
D: Distribution<T>,
R: Rng + 'a, type Item = T;
[−]
Create an iterator that generates values using the given distribution. Read more
Fill dest
entirely with random bytes (uniform value distribution), where dest
is any type supporting [AsByteSliceMut
], namely slices and arrays over primitive integer types (i8
, i16
, u32
, etc.). Read more
Fill dest
entirely with random bytes (uniform value distribution), where dest
is any type supporting [AsByteSliceMut
], namely slices and arrays over primitive integer types (i8
, i16
, u32
, etc.). Read more
Return a bool with a probability p
of being true. Read more
Return a random element from values
. Read more
Return a mutable pointer to a random element from values
. Read more
Deprecated since 0.5.0
: use Rng::sample_iter(&Standard) instead
Return an iterator that will yield an infinite number of randomly generated items. Read more
[−]
Deprecated since 0.5.0
: use gen_bool instead
Return a bool with a 1 in n chance of true Read more
[−]
Deprecated since 0.5.0
: use sample_iter(&Alphanumeric) instead
Return an iterator of random characters from the set A-Z,a-z,0-9. Read more
[+]
[−]
Creates a new instance, automatically seeded with fresh entropy. Read more
[+]
[+]
[+]
type Owned = T
[−]
Creates owned data from borrowed data, usually by cloning. Read more
[−]
🔬 This is a nightly-only experimental API. (toowned_clone_into
)
recently added
Uses borrowed data to replace owned data, usually by cloning. Read more
[+]
type Error = !
🔬 This is a nightly-only experimental API. (try_from
)
The type returned in the event of a conversion error.
[−]
🔬 This is a nightly-only experimental API. (try_from
)
[+]
[+]
[+]
type Error = <U as TryFrom<T>>::Error
🔬 This is a nightly-only experimental API. (try_from
)
The type returned in the event of a conversion error.
[−]
🔬 This is a nightly-only experimental API. (try_from
)
[+]
[−]
🔬 This is a nightly-only experimental API. (get_type_id
)
this method will likely be replaced by an associated static