- Дата: 6-04-2022, 10:56
The platform aims to familiarise beginners with the crypto space by providing a learning program that pays users cryptocurrency to learn more about how cryptocurrency works and how to make money with bitcoin. We have trained various machine learning models to learn about the correlation between all these features and results are analyzed. To assess the efficiency of the developed simulator, we have conducted several experiments and studied the impact of network delays, hashing power and mining difficulty on the consistency and fairness of the Bitcoin network. However increasing the hashrate percentage in the range from 7% to 20% does not yield a significant benefit as in the range from 20% to 33% although the amount of increment in both ranges equals 13%. Miners tend to adjust their share in the total network hashing power by investing in more mining infrastructure, however, estimating the benefit that will be gained from increasing the mining hashrate is paramount to avoid power waste with scant rewards. This study will help in finding the suitable difficulty level that can be defined to build a stable testing network, that balance between the simulation’s efficiency, and the network’s consistency and security.