A Structural Analysis of Bitcoin
نویسنده
چکیده
There is no formal framework for describing the core structural concepts of Bitcoin or for attempting a correctness proof of the algorithm. This contribution presents several elements which may serve as building blocks. A distributed model for describing the states enclosed in a Bitcoin network is provided. Concepts for modeling the swarm behavior of Bitcoin are analyzed.
منابع مشابه
Rejecting the arguments of the sanctity of bitcoin mining and proving its legitimacy by Reward Contract (Joaleh)
Bitcoin soon attracted the attention of experts and the general public around the world, including the Islamic community. Due to the novelty of the subject, although little research has been done to examine the legitimacy of bitcoin mining from the perspective of Muslim thinkers, this paper is responsible for examining two reasons in the research of contemporary Sunni thinkers. The two reasons ...
متن کاملThe Future of Bitcoin as a Tool for Financial Development
The purpose of research is focused on the insight into the future of Bitcoin on the financial situation, its implications and challenges. The problem of study is to investigate how to deal with a new type of digital currencies (such Bitcoin) that does not have a physical presence and there is no specific body to issue. Thus, this study aims to identify the nature of Bitcoin currency and what ar...
متن کاملStudy and Research on the Six-Year Process of Bitcoin Price and Return
The purpose of this study, is create a challenge and discussion concerning the existence of information about the Bitcoin price and return, which suggests the relationship of information and the strong performance it. The information trends are available at different time periods and the summary data related to the statistical descriptions for the price and return index are also discussed. In t...
متن کاملTime series forecasting of Bitcoin price based on ARIMA and machine learning approaches
Bitcoin as the current leader in cryptocurrencies is a new asset class receiving significant attention in the financial and investment community and presents an interesting time series prediction problem. In this paper, some forecasting models based on classical like ARIMA and machine learning approaches including Kriging, Artificial Neural Network (ANN), Bayesian method, Support Vector Machine...
متن کاملUsing Machine Learning ARIMA to Predict the Price of Cryptocurrencies
The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...
متن کامل