Compact Merkle Multiproofs

02/18/2020
by   Lum Ramabaja, et al.
0

The compact Merkle multiproof is a new and significantly more memory-efficient way to generate and verify sparse Merkle multiproofs. A standard sparse Merkle multiproof requires to store an index for every non-leaf hash in the multiproof. The compact Merkle multiproof on the other hand requires only k leaf indices, where k is the number of elements used for creating a multiproof. This significantly reduces the size of multirpoofs, especially for larger Merke trees.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro