The introduction of adaptive Merkle trees significantly optimizes data verification in blockchains by leveraging dynamic restructuring based on usage patterns, enhancing efficiency.
We propose a novel approach that reduces computational overhead in verification processes, addressing scalability issues inherent in traditional blockchain architectures.
Adaptive Merkle trees facilitate improvements in path length optimization, which is crucial for maintaining the integrity and speed of blockchain transactions.
Our research indicates that restructuring Merkle trees, whether binary or non-binary, provides tangible benefits in processing times and overall system performance.
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