Verifiable Delay Function (VDF) Implementation in Rust

What is a VDF?

A Verifiable Delay Function (VDF) is a function that requires substantial time to evaluate (even with a polynomial number of parallel processors) but can be very quickly verified as correct. VDFs can be used to construct randomness beacons with multiple applications in a distributed network environment. By introducing a time delay during evaluation, VDFs prevent malicious actors from influencing output. The output cannot be differentiated from a random number until the final result is computed. See https://eprint.iacr.org/2018/712.pdf for more details.

Description

This VDF implementation is written in Rust. The GMP library is used for arithmetic and greatest common divisor (GCD) calculations. We use class groups to implement the approaches described in the following papers:

Simple Verifiable Delay Functions. Pietrzak, 2018
Efficient Verifiable Delay Functions. Wesolowski, 2018

The chosen generator is (2, 1, c), where c is calculated from the provided discriminant. A form is represented internally (a, b, c), with the discriminant not being used in most omputations. This implementation performs reduction is performed after every multiplication and squaring, as not doing so did not give any gains in our benchmarks.

This repo includes three crates:

classgroup: a class group implementation, as well as a trait for class groups.
vdf: a Verifyable Delay Function (VDF) trait, as well as an implementation of that trait.
vdf-cli: a command-line interface to the vdf crate. It also includes additional commands, which are deprecated and will be replaced by a CLI to the classgroup crate.

Usage

Install Rust. We (POA Networks) have tested the code with the latest stable, beta, and nightly versions of Rust. It may work with older versions, but this is not guaranteed.
Install the GNU Multiple Precision Library
- On Debian and derivatives (including Ubuntu):
```
$ sudo apt-get install -y libgmp-dev
```
- On Red Hat and derivatives (Fedora, CentOS)
```
$ sudo dnf -y install gmp-devel
```

Download and prepare the repository

$ git clone https://github.com/poanetwork/vdf.git
$ cargo install --path=vdf-cli
$ # or for the competition binary
$ cargo install --path=vdf-competition

Command Line Interface

To initiate, use the vdf-cli command followed by 2 arguments:

challenge: byte string of arbitrary length
difficulty: number of iterations, each iteration requires more time to evaluate

This generates the Weslowski proof of time. To generate the Pietrzak proof of time, pass -tpietrzak. For detailed usage information, run vdf-cli --help.

Once complete you will see the output, returned as a Vec<u8>. The CLI tool hex-encodes its output.

Example

$ vdf-cli aa 100
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

To verify, use the vdi-cli command with the same arguments and include the output.

Example

$ vdf-cli aa 100 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
Proof is valid

VDF Library

extern crate vdf;
use vdf::{InvalidProof, PietrzakVDFParams, VDFParams, WesolowskiVDFParams, VDF};

/// The correct solution.
const CORRECT_SOLUTION: &[u8] =
  b"\x00\x52\x71\xe8\xf9\xab\x2e\xb8\xa2\x90\x6e\x85\x1d\xfc\xb5\x54\x2e\x41\x73\xf0\x16\
  \xb8\x5e\x29\xd4\x81\xa1\x08\xdc\x82\xed\x3b\x3f\x97\x93\x7b\x7a\xa8\x24\x80\x11\x38\
  \xd1\x77\x1d\xea\x8d\xae\x2f\x63\x97\xe7\x6a\x80\x61\x3a\xfd\xa3\x0f\x2c\x30\xa3\x4b\
  \x04\x0b\xaa\xaf\xe7\x6d\x57\x07\xd6\x86\x89\x19\x3e\x5d\x21\x18\x33\xb3\x72\xa6\xa4\
  \x59\x1a\xbb\x88\xe2\xe7\xf2\xf5\xa5\xec\x81\x8b\x57\x07\xb8\x6b\x8b\x2c\x49\x5c\xa1\
  \x58\x1c\x17\x91\x68\x50\x9e\x35\x93\xf9\xa1\x68\x79\x62\x0a\x4d\xc4\xe9\x07\xdf\x45\
  \x2e\x8d\xd0\xff\xc4\xf1\x99\x82\x5f\x54\xec\x70\x47\x2c\xc0\x61\xf2\x2e\xb5\x4c\x48\
  \xd6\xaa\x5a\xf3\xea\x37\x5a\x39\x2a\xc7\x72\x94\xe2\xd9\x55\xdd\xe1\xd1\x02\xae\x2a\
  \xce\x49\x42\x93\x49\x2d\x31\xcf\xf2\x19\x44\xa8\xbc\xb4\x60\x89\x93\x06\x5c\x9a\x00\
  \x29\x2e\x8d\x3f\x46\x04\xe7\x46\x5b\x4e\xee\xfb\x49\x4f\x5b\xea\x10\x2d\xb3\x43\xbb\
  \x61\xc5\xa1\x5c\x7b\xdf\x28\x82\x06\x88\x5c\x13\x0f\xa1\xf2\xd8\x6b\xf5\xe4\x63\x4f\
  \xdc\x42\x16\xbc\x16\xef\x7d\xac\x97\x0b\x0e\xe4\x6d\x69\x41\x6f\x9a\x9a\xce\xe6\x51\
  \xd1\x58\xac\x64\x91\x5b";
fn main() {
    // The length of the prime numbers generated, in bits.
    let num_bits: u16 = 2048;

    // An instance of the VDF.  Instances can be used arbitrarily many times.
    let pietrzak_vdf = PietrzakVDFParams(num_bits).new();

    // Solve for the correct answer.  This will take a minute or two.
    assert_eq!(
        &pietrzak_vdf.solve(b"\xaa", 10000).unwrap()[..],
        CORRECT_SOLUTION
    );

    // Verify the answer.  This should be far faster (less than a second).
    assert!(pietrzak_vdf.verify(b"\xaa", 10000, CORRECT_SOLUTION).is_ok());
}

Benchmarks

Benchmarks are provided for the classgroup operations. To run benchmarks:

$ ./bench.sh <your challenge here>

Additional benchmarks are under development.

Current Benchmarks

These were generated by ./bench.sh aadf. Outliers could be due to preemption by the OS and/or hypervisor. Changes are relative to the previous test run done on the same machine. Since the previous run was done with different settings and/or code than reported here, these changes are not meaningful.

Benchmarking square with seed aadf: 512: Collecting 100 samples in estimated 5.0439 s (374k iteratio                                                                                                    square with seed aadf: 512
                        time:   [13.301 us 13.333 us 13.372 us]
                        change: [-22.286% -21.745% -21.225%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 22 outliers among 100 measurements (22.00%)
  5 (5.00%) high mild
  17 (17.00%) high severe

Benchmarking multiply with seed aadf: 512: Collecting 100 samples in estimated 5.0452 s (293k iterat                                                                                                    multiply with seed aadf: 512
                        time:   [17.219 us 17.251 us 17.287 us]
                        change: [-24.323% -23.739% -23.149%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 10 outliers among 100 measurements (10.00%)
  4 (4.00%) high mild
  6 (6.00%) high severe

Benchmarking square with seed aadf: 1024: Collecting 100 samples in estimated 5.0822 s (177k iterati                                                                                                    square with seed aadf: 1024
                        time:   [28.672 us 28.716 us 28.767 us]
                        change: [-29.947% -29.339% -28.708%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 8 outliers among 100 measurements (8.00%)
  1 (1.00%) low mild
  1 (1.00%) high mild
  6 (6.00%) high severe

Benchmarking multiply with seed aadf: 1024: Collecting 100 samples in estimated 5.0886 s (136k itera                                                                                                    multiply with seed aadf: 1024
                        time:   [37.163 us 37.207 us 37.254 us]
                        change: [-21.403% -20.750% -20.170%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 8 outliers among 100 measurements (8.00%)
  1 (1.00%) low mild
  1 (1.00%) high mild
  6 (6.00%) high severe

Benchmarking square with seed aadf: 2048: Collecting 100 samples in estimated 5.2519 s (76k iteratio                                                                                                    square with seed aadf: 2048
                        time:   [69.115 us 69.254 us 69.430 us]
                        change: [-28.091% -27.738% -27.341%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 8 outliers among 100 measurements (8.00%)
  1 (1.00%) low mild
  1 (1.00%) high mild
  6 (6.00%) high severe

Benchmarking multiply with seed aadf: 2048: Collecting 100 samples in estimated 5.0554 s (56k iterat                                                                                                    multiply with seed aadf: 2048
                        time:   [90.922 us 91.057 us 91.201 us]
                        change: [-25.236% -24.794% -24.336%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 13 outliers among 100 measurements (13.00%)
  2 (2.00%) low mild
  5 (5.00%) high mild
  6 (6.00%) high severe

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

poanetwork/vdf

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