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-# rand_jitter
-[![Build Status](https://travis-ci.org/rust-random/rand.svg?branch=master)](https://travis-ci.org/rust-random/rand)
-[![Build Status](https://ci.appveyor.com/api/projects/status/github/rust-random/rand?svg=true)](https://ci.appveyor.com/project/rust-random/rand)
-[![Latest version](https://img.shields.io/crates/v/rand_jitter.svg)](https://crates.io/crates/rand_jitter)
-[![Book](https://img.shields.io/badge/book-master-yellow.svg)](https://rust-random.github.io/book/)
-[![API](https://img.shields.io/badge/api-master-yellow.svg)](https://rust-random.github.io/rand/rand_jitter)
-[![API](https://docs.rs/rand_jitter/badge.svg)](https://docs.rs/rand_jitter)
-[![Minimum rustc version](https://img.shields.io/badge/rustc-1.32+-lightgray.svg)](https://github.com/rust-random/rand#rust-version-requirements)
-
-Non-physical true random number generator based on timing jitter.
-
-Note that this RNG is not suited for use cases where cryptographic security is
-required (also see [this
-discussion](https://github.com/rust-random/rand/issues/699)).
-
-This crate depends on [rand_core](https://crates.io/crates/rand_core) and is
-part of the [Rand project](https://github.com/rust-random/rand).
-
-This crate aims to support all of Rust's `std` platforms with a system-provided
-entropy source. Unlike other Rand crates, this crate does not support `no_std`
-(handling this gracefully is a current discussion topic).
-
-Links:
-
-- [API documentation (master)](https://rust-random.github.io/rand/rand_jitter)
-- [API documentation (docs.rs)](https://docs.rs/rand_jitter)
-- [Changelog](https://github.com/rust-random/rand/blob/master/rand_jitter/CHANGELOG.md)
-
-## Features
-
-This crate has optional `std` support which is *disabled by default*;
-this feature is required to provide the `JitterRng::new` function;
-without `std` support a timer must be supplied via `JitterRng::new_with_timer`.
-
-## Quality testing
-
-`JitterRng::new()` has build-in, but limited, quality testing, however
-before using `JitterRng` on untested hardware, or after changes that could
-effect how the code is optimized (such as a new LLVM version), it is
-recommend to run the much more stringent
-[NIST SP 800-90B Entropy Estimation Suite](https://github.com/usnistgov/SP800-90B_EntropyAssessment).
-
-Use the following code using `timer_stats` to collect the data:
-
-```rust,no_run
-use rand_jitter::JitterRng;
-
-use std::error::Error;
-use std::fs::File;
-use std::io::Write;
-
-fn get_nstime() -> u64 {
- use std::time::{SystemTime, UNIX_EPOCH};
-
- let dur = SystemTime::now().duration_since(UNIX_EPOCH).unwrap();
- // The correct way to calculate the current time is
- // `dur.as_secs() * 1_000_000_000 + dur.subsec_nanos() as u64`
- // But this is faster, and the difference in terms of entropy is
- // negligible (log2(10^9) == 29.9).
- dur.as_secs() << 30 | dur.subsec_nanos() as u64
-}
-
-fn main() -> Result<(), Box<dyn Error>> {
- let mut rng = JitterRng::new_with_timer(get_nstime);
-
- // 1_000_000 results are required for the
- // NIST SP 800-90B Entropy Estimation Suite
- const ROUNDS: usize = 1_000_000;
- let mut deltas_variable: Vec<u8> = Vec::with_capacity(ROUNDS);
- let mut deltas_minimal: Vec<u8> = Vec::with_capacity(ROUNDS);
-
- for _ in 0..ROUNDS {
- deltas_variable.push(rng.timer_stats(true) as u8);
- deltas_minimal.push(rng.timer_stats(false) as u8);
- }
-
- // Write out after the statistics collection loop, to not disturb the
- // test results.
- File::create("jitter_rng_var.bin")?.write(&deltas_variable)?;
- File::create("jitter_rng_min.bin")?.write(&deltas_minimal)?;
- Ok(())
-}
-```
-
-This will produce two files: `jitter_rng_var.bin` and `jitter_rng_min.bin`.
-Run the Entropy Estimation Suite in three configurations, as outlined below.
-Every run has two steps. One step to produce an estimation, another to
-validate the estimation.
-
-1. Estimate the expected amount of entropy that is at least available with
- each round of the entropy collector. This number should be greater than
- the amount estimated with `64 / test_timer()`.
- ```sh
- python noniid_main.py -v jitter_rng_var.bin 8
- restart.py -v jitter_rng_var.bin 8 <min-entropy>
- ```
-2. Estimate the expected amount of entropy that is available in the last 4
- bits of the timer delta after running noice sources. Note that a value of
- `3.70` is the minimum estimated entropy for true randomness.
- ```sh
- python noniid_main.py -v -u 4 jitter_rng_var.bin 4
- restart.py -v -u 4 jitter_rng_var.bin 4 <min-entropy>
- ```
-3. Estimate the expected amount of entropy that is available to the entropy
- collector if both noise sources only run their minimal number of times.
- This measures the absolute worst-case, and gives a lower bound for the
- available entropy.
- ```sh
- python noniid_main.py -v -u 4 jitter_rng_min.bin 4
- restart.py -v -u 4 jitter_rng_min.bin 4 <min-entropy>
- ```
-
-## License
-
-`rand_jitter` is distributed under the terms of both the MIT license and the
-Apache License (Version 2.0).
-
-See [LICENSE-APACHE](LICENSE-APACHE) and [LICENSE-MIT](LICENSE-MIT), and
-[COPYRIGHT](COPYRIGHT) for details.