Rampant Smoothing (RTS) Algorithm: an optimized consensus mechanism for private Blockchain enabled technologies

Blockchain is a distributed database method of storing electronic information in digital form that makes it challenging to transform, hack, or rogue the system. Each time a new operation transpires on the Blockchain, an irreversible information of that transaction is buffered in all connected ledgers. Each distributed ledger is programmable, immutable and timestamped. This paper follows an immutable policy to ensure chronological trust-administration, security and privacy to resolve anomalies within linearly stored blocks. To prove the validity of submitted data, a consensus mechanism is required, which was attained by implementing a novel ‘Rampant Smoothing Algorithm’ that was encoded using Solidity (i.e., aimed at developing smart contracts). Experimental policies were aligned with Good Clinical Data Management Practices that portrayed effective ‘smart contract modeling’ to demonstrate resistance against majority consensus attacks by harnessing the core feature of ‘privacy decentralization’. During implementation of Blockchain network, an interconnected system of six hundred nodes (i.e., data points) were gradually configured.