Since the introduction of Bitcoin in 2009, it has gained a significant popularity around the world. Bitcoin is a peer-to-peer electronic payment system where payment transactions are stored in a data structure named the block-chain. Based on a fully decentralized network, the blockchain is maintained by a community of participants. In Bitcoin system, mining is the fundamental concept. In this paper, we design a new Bitcoin mining scheme based on the multi-leader multi-follower Stackelberg game model. To effectively implement the peer-to-peer relationship of Bitcoin system agents, we assume that mining pool operators are leaders and mining participating users are followers in our Stackelberg game. By using the dynamics of feedback-based repeated process, leaders, and followers can be interacting with one another and make their decisions in a way to reach an efficient system solution. Without the influence of any central authorities and organizations, the proposed method is practically applied to a distributed Bitcoin system. Through system level simulations, we show that our game approach outperforms the existing Bitcoin schemes in providing a better fair-efficient system performance.
As the exchange and trade with cryptocurrencies is steadily rising, consequently, they become subject to financial reporting.The essence of financial reporting derives from the objective to provide stakeholders of an enterprise with sustainable information about the financial well-being of the business.Accountants might face complications meeting the objective of financial reporting considering cryptocurrencies such as Bitcoins due to the absence of guidelines in both, IFRS and US GAAP.In the first part, this paper applies the existing IAS and IFRS guidelines to this practical issue and contributes to the process by which diversification in practice can be avoided.Broadly speaking, the problem can be addressed by classifying Bitcoins as intangible assets.Whereas, Bitcoins fail the definition of cash, cash equivalents, financial instruments, as well as the definition of inventory.In the second part, a discussion concerning non-financial reporting of Bitcoins can be found.
Jan 1, 2018·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Yang Li, Thierry Marier-Bienvenue, Alexis Perron-Brault, Xinyi Wang · 5 authors
The scientific literature on blockchain technology is emerging but increasing rapidly. This review paper aims to provide a deeper understanding of the nature and scope of the extant literature on blockchain technology in the particular context of business organizations. To achieve our main objective, we searched five databases and screened 320 papers for inclusion. As a result of the search and screen process, we identified 39 relevant articles. Data coding was first pilot tested and then performed independently by two teams of researchers. All disagreements were reconciled by a third coder. Our findings reveal that most of the extant literature focuses on "how" blockchain technology works and, to a lesser extent, on the "what", i.e. its potential applications and usages in business organizations. For its part, the "why" question, which focuses on the organizational motivations for adopting blockchain technology, was scarcely discussed in prior literature. In short, our findings reveal that many issues and questions remain to be investigated. Based on a gap analysis, we propose a few promising avenues that shall guide future research efforts in this important topic.
A useful blockchain should possess the following properties, one or more of which many existing blockchain systems lack: 1) A sound consensus protocol. 2) An efficient transaction-processing system. 3) Immutability of history. 4) Decentralization. 5) An effective avenue for hard-forks and rule changes. We propose a system named the “Verex Blockchain” that will fulfill these requirements. This system employs an “Assigned-Majority-Validation” consensus protocol whereby only nodes within a specialized, designated network may vote on the correct state of the blockchain and add new blocks of transactions without proof of work or stake. New nodes to this network must be approved by existing nodes. These nodes will be controlled by entities with high public visibility such as governments or multinational technology companies, whose identities and actions will be made fully transparent on the blockchain. Transactions will be charged fees in cryptocurrency according to a fixed and known fee schedule, which will be earned by nodes in the designated network. Any user in the world may download the blockchain, receive and verify updates, and submit transactions, but only nodes in the specialized network may write updates to the blockchain.
Blockchain technology with its distributed ledgers attracts massive attention today and creates interest in many different industries. One of the most promising areas for implementation of blockchain technology is its use to create fully automated and decentralized contract solutions, so-called smart contracts. The blockchain technology is also expected to develop the concept of BIM by facilitating the creation of a common model. The problem addressed in this study is the limited amount of research carried out in the blockchain field and the potential use of smart contracts in procurement of services in the construction industry. The construction industry differs from many other industries as it is project-based with changing circumstances and conditions. The study shows that the construction industry is an industry focused on discussions and disputes, the majority of which are linked to payments and contractual interpretations. Two of the key concepts of the study are therefore moral hazard and opportunistic behavior. Opportunistic behavior can affect norms, the willingness for cooperation and the degree to which parties trust each other. Designing contracts to reduce the risk of moral hazard and opportunistic behavior is therefore an important aspect. The study has chosen to study both relationships that are hierarchical to nature but also peer-to-peer. The purpose of the study has been to conceptually reflect on percived opportunities and challenges with blockchains in the construction industry regarding two identified applications, smart contracts and BIM. To investigate this, a qualitative interview study has been conducted. The study points to the need for a more standardized building process that is subject to a certain degree of repetition to achieve successful use of a blockchain network and smart contracts. The study also shows that there is a positive attitude from the respondents regarding a possible development for several of the potential applications of blockchain technology. Blockchain technology and smart contracts have the potential to improve the reliability and credibility of logbooks, self-checks and work performed within a building project. Furthermore, the study highlights the importance of long-term relationships and confidence in reducing opportunistic behavior. Based on previous research and empirical analysis, the study contributes to an increased understanding of which levels in the construction industry smart contracts may be applicable. The study shows that smart contracts are not perceived suitable for complex contracts where the work to be performed can be changed many times during the contract period. The study, on the other hand, indicates that blockchain development with BIM is not demanded at the present time. Finally, the study points out that blockchain technology is perceived to have the potential to make the building process more transparent and open with reduced power conditions at the same time as it gets less centralized which opens up the need for research in that direction.
The world is becoming more and more digitized. Recently many industries have started to research the blockchain technology and particularly smart contracts. One industry that so far has not adopted new technology in the same pace as other industries, is the insurance industry so this interview study aims at finding opportunities and challenges for insurance companies that want to learn about smart contracts and its use cases.By doing a literature review and performing interviews with blockchain experts and insurance company employees, this study found that both IT companies working with smart contracts and the insurance companies have limited knowledge of the legal aspect of smart contracts. The lack of standards and regulations allows IT companies to freely create smart contracts without much quality control. The insurance companies must innovate themselves in order to not be disrupted. The blockchain technology will offer many new insurance types and if the insurance industry fails to adopt the blockchain technology they may face market disruption.There is much room for future research following this study. It would be beneficial to research how contract theory could be used in practice during the creation of legally binding smart contracts. Furthermore, research around fraud prevention in smart contracts would be interesting as would an in-depth exploration of the ecosystem of third party software and services around smart contracts.
Digitalization makes almost everything quicker, sleeker, and more efficient. Many argue cryptocurrency is the future of money and payment transfers. This paper explores how the unique nature of cryptocurrencies creates barriers to a strict application of traditional regulatory strategies. Indeed, state and federal regulators remain uncertain if and how they can regulate this cutting-edge technology. Cryptocurrency businesses face difficulty navigating the unclear regulatory landscape, and consumers frequently fall prey to misinformation. To reconcile these concerns, this paper asserts cryptocurrency functions as “currency” or “money” and should be treated as such for regulatory purposes. It also proposes each state implement a uniform cryptocurrency-specific framework following the Uniform Regulation of Virtual-Currency Business Act. Such a harmonious approach would reduce compliance costs for cryptocurrency businesses, protect consumers, and provide satisfactory state and federal oversight.
Cryptocurrencies are a cryptography based technology, that has increased massively in popularity in recent years. These currencies are traded on markets that specialize in cryptocurrency trade. There, you can trade one cryptocurrency for another, or buy one with real world money. These markets are quite volatile, meaning that the price of most cryptocurrencies swing up and down a lot. The largest cryptocurrency is Bitcoin, but there is also more than 1500 smaller ones, that goes by the name alternative coins, or altcoins. This thesis will try to find out if it is possible to make accurate predictions about the future price of the altcoin Ethereum, and also see if Bitcoin may have some influence over the price of the selected altcoin. The predictions were made with the use of an artificial neural network, an LSTM network, that was trained on labeled data from 2017. The predictions were then made in intervals of one hour ahead, six hours ahead, and one day ahead through early 2018. The predictions showed that it is possible to make somewhat accurate predictions about the future. The predictions that were made one hour ahead were more accurate than both the six hours ahead predictions and the full day ahead predictions. By comparing the loss rates of the neural networks that were only trained on Ethereum, with the loss rates of the networks that trained on both Bitcoin and Ethereum, is was made clear that training on both cryptocurrencies did not improve the prediction accuracies.
Weiqi Dai, Jun Deng, Qinyuan Wang, Changze Cui · 6 authors
Due to the increasing total value of the digital currency, the security of encryption wallet is becoming more and more important. The hardware-based wallet is safe, but it is inconvenient because users need to carry an additional physical device, the software-based wallet is convenient, but the safety cannot be guaranteed. All these wallets need to synchronize the blockchain, while most current mobile devices do not have the capability to store all blocks. To solve these problems, mobile devices can use simplified payment verification (SPV). Nevertheless, in existing methods, there is no good way to protect the verification process of the transaction. In this paper, we design a secure blockchain lightweight wallet based on Trustzone to protect SPV. It is more portable compared with the hardware wallet, and safer than the software wallet. Through the isolation, it can also protect the private key and the wallet's address from being stolen by the attackers no matter whether the Rich OS is malicious or not. Meanwhile, it can protect the verification process by verifying transactions in the secure execution environment (SEE), and keep the local block headers unreadable directly from the Rich OS through encryption. We deploy it on the RASPBERRY PI 3 MODEL B development board. The result of the experiment shows that it has little impact on the system.
Background: Past few months have seen the rise of blockchain and cryptocurrencies. In this context, the Ethereum platform, an open-source blockchain-based platform using Ether cryptocurrency, has been designed to use smart contracts programs. These are self-executing blockchain contracts. Due to their high volume of transactions, analyzing their behavior is very challenging. We address this challenge in our paper. Methods: We develop for this purpose an innovative approach based on the non-negative tensor decomposition Paratuck2 combined with long short-term memory. The objective is to assess if predictive analysis can forecast smart contracts activities over time. Three statistical tests are performed on the predictive analytics, the mean absolute percentage error, the mean directional accuracy and the Jaccard distance. Results: Among dozens of GB of transactions, the Paratuck2 tensor decomposition allows asymmetric modeling of the smart contracts. Furthermore, it highlights time dependent latent groups. The latent activities are modeled by the long short term memory network for predictive analytics. The highly accurate predictions underline the accuracy of the method and show that blockchain activities are not pure randomness. Conclusion: Herein, we are able to detect the most active contracts, and predict their behavior. In the context of future regulations, our approach opens new perspective for monitoring blockchain activities.
Abstract This article reviews what cryptocurrencies are, and it frames them within the context of historical monetary experiences and contemporary monetary economics. The article argues that, as pure fiduciary private money, cryptocurrencies are a bubble without a fundamental value and they will not provide, in general, optimal amounts of money or deliver price stability. Nevertheless, cryptocurrencies can play a role in improving the current means of payments and in disciplining central banks into providing better government‐run fiduciary monies.