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Re-applying some other spelling/punctuation fixes that were recently overwritten by a merge

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Minh T. Nguyen 2014-05-26 23:42:30 -07:00
parent 6081a06d41
commit b73363b6bb
1 changed files with 3 additions and 3 deletions
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@ -165,7 +165,7 @@ y = 7A3D41E670...CD90C2
To visualize multiplication of a point with an integer, we will use the simpler elliptic curve over the real numbers - remember, the math is the same. Our goal is to find the multiple kG of the generator point G. That is the same as adding G to itself, k times in a row. In elliptic curves, adding a point to itself is the equivalent of drawing a tangent line on the point and finding where it intersects the curve again, then reflecting that point on the x-axis.
Starting with the generator point G, we take the tangent of the curve at G until it crosses the curve again at another point. This new point is -2G. Reflecting that point across the x-axis gives us 2G. If we take the tangent at 2G, it crosses the curve at -3G, which again we reflect on the x-axis to find 3G. Continuing this process, we can bounce around the curve finding the multiples of G, 2G, 3G, 4G etc. As you can see, a randomly selected large number k, when multiplied against the generator point G is like bouncing around the curve k times, until we land on the point kG which is the public key. This process is irreversible, meaning that it is infeasible to find the factor k (the secret k) in any way other than trying all multiples of G (1G, 2G, 3G etc) in a brute-force search for k. Since k can be an enormous number, that brute-force search would take an infeasible amount of computation and time.
Starting with the generator point G, we take the tangent of the curve at G until it crosses the curve again at another point. This new point is -2G. Reflecting that point across the x-axis gives us 2G. If we take the tangent at 2G, it crosses the curve at -3G, which again we reflect on the x-axis to find 3G. Continuing this process, we can bounce around the curve finding the multiples of G, 2G, 3G, 4G, etc. As you can see, a randomly selected large number k, when multiplied against the generator point G is like bouncing around the curve k times, until we land on the point kG which is the public key. This process is irreversible, meaning that it is infeasible to find the factor k (the secret k) in any way other than trying all multiples of G (1G, 2G, 3G, etc) in a brute-force search for k. Since k can be an enormous number, that brute-force search would take an infeasible amount of computation and time.
@ -400,13 +400,13 @@ This most basic form of key generation generates what are known as _Type-0_ or _
===== Deterministic Chains (Electrum Key Chains)
[[Type1_wallet]]
.Type-1 Deterministic Wallet: A Chain of Keys Generared from a Seed
.Type-1 Deterministic Wallet: A Chain of Keys Generated from a Seed
image::images/chained_wallet.png["chained wallet"]
===== Deterministic Trees (BIP0032)
[[Type2_wallet]]
.Type-2 Hierarchical Deterministic Wallet: A Tree of Keys Generared from a Seed
.Type-2 Hierarchical Deterministic Wallet: A Tree of Keys Generated from a Seed
image::images/HD_wallet.png["HD wallet"]
==== Key Storage