Struct LinearDistinguisher 

pub struct LinearDistinguisher {
    pub mask: usize,
    pub bias: f64,
    pub mask_weight: u32,
    pub nonlinearity: u64,
    pub immunity_order: usize,
}

The linear-cryptanalytic profile of a Boolean combining/filter function, from its Walsh spectrum: the best linear approximation (the distinguisher), its nonlinearity, and its correlation-immunity order.

Fields

mask: usize

The linear mask w of the best approximation z ≈ ⟨w, inputs⟩.

bias: f64

The bias |Pr[C=⟨w,x⟩] − ½| of that approximation — the distinguishing advantage.

mask_weight: u32

The Hamming weight of mask: how many registers the approximation combines (weight 1 = Rung E).

nonlinearity: u64

Distance to the nearest affine function; maximal ⇒ bent ⇒ no exploitable linear approximation.

immunity_order: usize

The correlation-immunity order — how many registers the first-order correlation attack must miss.

Trait Implementations

impl Clone for LinearDistinguisher

fn clone(&self) -> LinearDistinguisher

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LinearDistinguisher

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for LinearDistinguisher

fn eq(&self, other: &LinearDistinguisher) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for LinearDistinguisher