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This leaves log2(512^2)=18 bits of entropy for the use of 2 code words. Really it is 16 bits since words must alternate between even and odd for error detection.
Using a larger 2048 word list from the standard BIP39 word lists is an easy way to greatly increase this entropy, while adding multi-language support.
Due to the use of nameplates the chance of collision is low, but not the usual cryptographically-secure-astronomical-scale-chance-of-happening type of low that I would have expected.
Without using the even-odd error detection this would increase 2 word entropy to 22 bits, up from the current 16 bits.
It would be 33 bits with 3 words.
The BIP39 word lists also have support for various languages other than english.
These word lists are carefully selected so that 3 characters uniquely identifies every word, which is useful for auto completion.
The text was updated successfully, but these errors were encountered:
I notice that the word list is only 512 words.
This leaves log2(512^2)=18 bits of entropy for the use of 2 code words. Really it is 16 bits since words must alternate between even and odd for error detection.
Using a larger 2048 word list from the standard BIP39 word lists is an easy way to greatly increase this entropy, while adding multi-language support.
Due to the use of nameplates the chance of collision is low, but not the usual cryptographically-secure-astronomical-scale-chance-of-happening type of low that I would have expected.
Without using the even-odd error detection this would increase 2 word entropy to 22 bits, up from the current 16 bits.
It would be 33 bits with 3 words.
The BIP39 word lists also have support for various languages other than english.
These word lists are carefully selected so that 3 characters uniquely identifies every word, which is useful for auto completion.
The text was updated successfully, but these errors were encountered: