Its a very simple concept and so there’s no reason to give it a scientific name which doesnt mean anything to most people
And by the way I would say that entropy isnt even a useful term here. Entropy is defined as
k ln(O)
where O is the total number of microstates (here the number of unique keys that can be made in the system) and k is the boltzmann constant. For the purpose of brute-force attacks we’re interested in the total number of microstates O, and so the logarithmic scaling of entropy isn’t meaningful.
No it absolutely does, the method they used to generate private keys ended up having just 8 shannons of entropy which led to the discovery we are discussing
Well, someone did guess it so it’s not that hard. The entropy was really low.
‘Entropy’ doesnt apply here
It does doesn’t it?
The higher the number of bits, the more entropy in the system.
It’s a pointlessly obscure way of saying there are more numbers
Its a measure of the randomness of numbers in the system, ie the definition of entropy.
People do use it to sound cool, but this use still fits its mathematic definition.
I know. Its still pointlessly obscure
Aren’t all words you don’t understand obscure ?
Entropy is the correct word and is commonly use in cryptography.
Its a very simple concept and so there’s no reason to give it a scientific name which doesnt mean anything to most people
And by the way I would say that entropy isnt even a useful term here. Entropy is defined as
where O is the total number of microstates (here the number of unique keys that can be made in the system) and k is the boltzmann constant. For the purpose of brute-force attacks we’re interested in the total number of microstates O, and so the logarithmic scaling of entropy isn’t meaningful.
No it absolutely does, the method they used to generate private keys ended up having just 8 shannons of entropy which led to the discovery we are discussing