pow_sha256/readme.md

# Pow

Sha256 based proof of work over a typed piece of data.

Any type that implementes serde::Deserialize can be tagged with a proof of work.

# Examples

Prove we did work targeting a phrase.

```
use pow::Pow;

// very easy mode
let difficulty = u128::max_value() - u128::max_value() / 2;

let phrase = b"Phrase to tag.".to_vec();
let pw = Pow::prove_work(&phrase, difficulty).unwrap();
assert!(pw.score(&phrase).unwrap() >= difficulty);
```

Prove more difficult work. This time targeting a time.

```
// more diffcult, takes around 100_000 hashes to generate proof
let difficulty = u128::max_value() - u128::max_value() / 100_000;

let now: u64 = get_unix_time_seconds();
let pw = Pow::prove_work(&now, difficulty).unwrap();
assert!(pw.score(&now).unwrap() >= difficulty);
```

# Score scheme

To score a proof of work for a given (target, Pow) pair:
Sha256 is calculated over the concatenation SALT + target + Pow.
The first 16 bytes of the hash are interpreted as a 128 bit unsigned integer.
That integer is the score.
A constant, SALT, is used as prefix to prevent pow reuse from other systems such as proof
of work blockchains.

In other words:

```
fn score<T: Serialize>(target: &T, pow_tag: &Pow<T>) -> u128 {
    let bytes = serialize(&SALT) + serialize(target) + serialize(pow_tag);
    let hash = sha256(&bytes);
    deserialize(&hash[..16])
}
```

# Serialization encoding.

It shouldn't matter to users of this library, but the bincode crate is used for cheap
deterministic serialization. All values are serialized using network byte order.

# Threshold scheme

Given a minimum score m. A Pow p satisfies the minimum score for target t iff score(t, p) >= m.

# Choosing a difficulty setting.

Difficulty settings are usually best adjusted dynamically a la bitcoin.

To manually select a difficulty, choose the average number of hashes required.

```
fn difficulty(average: u128) -> u128 {
    debug_assert_ne!(average, 0, "It is impossible to prove work in zero attempts.");
    let m = u128::max_value();
    m - m / average
}
```

Conversely, to calculate probable number of hashes required to satisfy a given minimum
difficulty.

```
fn average(difficulty: u128) -> u128 {
    let m = u128::max_value();
    if difficulty == m {
        return m;
    } 
    m / (m - difficulty)
}
```