Adjusting weights of weighted consensus algorithms for blockchains

A method for adjusting blockchain participant reliability scores, the method comprising:

• accessing broadcast events in a blockchain, wherein the broadcast events correspond to a selected past period of time;
• identifying a broadcast decision provided by a participant in the blockchain for each of the broadcast events corresponding to the selected past period of time, the broadcast decision including an indication of whether an entity corresponding to the broadcast event contained sanctionable conduct that comprises a financial crime, a country-specific crime, or a type of conduct that leads to the entity being placed on a specified blacklist;
• identifying a consensus decision for each of the broadcast events corresponding to the selected past period of time, wherein the consensus decision indicates whether there is a consensus among participants in the blockchain that the broadcast event should be added as a new node to the blockchain at least in part due to the corresponding broadcast event lacking the sanctionable conduct;
• determining a success rate for the participant based on the identified broadcast decision provided by the participant for each of the broadcast events and the consensus decision for each of the broadcast events, wherein the success rate comprises a number of times that the broadcast decision provided by the participant matches the consensus decision divided by a total number of broadcast events;
• and
• based on the success rate, increasing or decreasing a decision reliability score for the participant, wherein the decision reliability score comprises a weight applied to broadcast decisions provided by the participant in future broadcast events for the blockchain.

A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

• identifying historic broadcast events in a blockchain;
• identifying a broadcast decision provided by a participant in the blockchain for each of the historic broadcast events, wherein the broadcast decision comprises a determination made by the participant whether a corresponding broadcast event should be added as a new node to the blockchain, the broadcast decision including an indication of whether an entity corresponding to the broadcast event contained sanctionable conduct that comprises a financial crime, a country-specific crime, or a type of conduct that leads to the entity being placed on a specified blacklist;
• identifying a consensus decision for each of the historic broadcast events, wherein the consensus decision indicates whether there is a consensus among participants in the blockchain that the broadcast event should be added as a new node to the blockchain at least in part due to the corresponding broadcast event lacking the sanctionable conduct;
• determining, for the historical broadcast events, a first number of times that the broadcast decision provided by the participant matches the consensus decision;
• determining a success rate for the participant at least in part by dividing the first number by a total number of the historic broadcast events;
• based on the success rate, decreasing a decision reliability score for the participant, wherein the decision reliability score comprises a weight applied to broadcast decisions provided by the participant in future broadcast events for the blockchain;
• determining that the decision reliability score for the participant is a greatest decision reliability score among all participants in the blockchain;
• determining that the greatest decision reliability score is less than a ceiling decision reliability score for the blockchain;
• and
• increasing the decision reliability score corresponding to each participant in the blockchain by an amount equal to a difference between the ceiling decision reliability score and the greatest decision reliability score.