Matching Items (10)

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Fundamentals of Blockchain in the Supply Chain

Description

The objective of this paper is to provide an educational diagnostic into the technology of blockchain and its application for the supply chain. Education on the topic is important to prevent misinformation on the capabilities of blockchain. Blockchain as a

The objective of this paper is to provide an educational diagnostic into the technology of blockchain and its application for the supply chain. Education on the topic is important to prevent misinformation on the capabilities of blockchain. Blockchain as a new technology can be confusing to grasp given the wide possibilities it can provide. This can convolute the topic by being too broad when defined. Instead, the focus will be maintained on explaining the technical details about how and why this technology works in improving the supply chain. The scope of explanation will not be limited to the solutions, but will also detail current problems. Both public and private blockchain networks will be explained and solutions they provide in supply chains. In addition, other non-blockchain systems will be described that provide important pieces in supply chain operations that blockchain cannot provide. Blockchain when applied to the supply chain provides improved consumer transparency, management of resources, logistics, trade finance, and liquidity.

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Agent

Created

Date Created
2018-05

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Can You Mix It? An Analysis of Bitcoin Mixers

Description

Third-party mixers are used to heighten the anonymity of Bitcoin users. The mixing techniques implemented by these tools are often untraceable on the blockchain, making them appealing to money launderers. This research aims to analyze mixers currently available on the

Third-party mixers are used to heighten the anonymity of Bitcoin users. The mixing techniques implemented by these tools are often untraceable on the blockchain, making them appealing to money launderers. This research aims to analyze mixers currently available on the deep web. In addition, an in-depth case study is done on an open-source bitcoin mixer known as Penguin Mixer. A local version of Penguin Mixer was used to visualize mixer behavior under specific scenarios. This study could lead to the identification of vulnerabilities in mixing tools and detection of these tools on the blockchain.

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Agent

Created

Date Created
2018-12

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SolPatch: Toward Automatic Vulnerability Mitigation For Ethereum Smart Contracts

Description

Ethereum smart contracts are susceptible not only to those vulnerabilities common to all software development domains, but also to those arising from the peculiar execution model of the Ethereum Virtual Machine. One of these vulnerabilities, a susceptibility to re-entrancy attacks,

Ethereum smart contracts are susceptible not only to those vulnerabilities common to all software development domains, but also to those arising from the peculiar execution model of the Ethereum Virtual Machine. One of these vulnerabilities, a susceptibility to re-entrancy attacks, has been at the center of several high-profile contract exploits. Currently, there exist many tools to detect these vulnerabilties, as well as languages which preempt the creation of contracts exhibiting these issues, but no mechanism to address them in an automated fashion. One possible approach to filling this gap is direct patching of source files. The process of applying these patches to contracts written in Solidity, the primary Ethereum contract language, is discussed. Toward this end, a survey of deployed contracts is conducted, focusing on prevalence of language features and compiler versions. A heuristic approach to mitigating a particular class of re-entrancy vulnerability is developed, implemented as the SolPatch tool, and examined with respect to its limitations. As a proof of concept and illustrative example, a simplified version of the contract featured in a high-profile exploit is patched in this manner.

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Created

Date Created
2018-12

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Utilizing Machine Learning Methods to Model Cryptocurrency

Description

Cryptocurrencies have become one of the most fascinating forms of currency and economics due to their fluctuating values and lack of centralization. This project attempts to use machine learning methods to effectively model in-sample data for Bitcoin and Ethereum using

Cryptocurrencies have become one of the most fascinating forms of currency and economics due to their fluctuating values and lack of centralization. This project attempts to use machine learning methods to effectively model in-sample data for Bitcoin and Ethereum using rule induction methods. The dataset is cleaned by removing entries with missing data. The new column is created to measure price difference to create a more accurate analysis on the change in price. Eight relevant variables are selected using cross validation: the total number of bitcoins, the total size of the blockchains, the hash rate, mining difficulty, revenue from mining, transaction fees, the cost of transactions and the estimated transaction volume. The in-sample data is modeled using a simple tree fit, first with one variable and then with eight. Using all eight variables, the in-sample model and data have a correlation of 0.6822657. The in-sample model is improved by first applying bootstrap aggregation (also known as bagging) to fit 400 decision trees to the in-sample data using one variable. Then the random forests technique is applied to the data using all eight variables. This results in a correlation between the model and data of 9.9443413. The random forests technique is then applied to an Ethereum dataset, resulting in a correlation of 9.6904798. Finally, an out-of-sample model is created for Bitcoin and Ethereum using random forests, with a benchmark correlation of 0.03 for financial data. The correlation between the training model and the testing data for Bitcoin was 0.06957639, while for Ethereum the correlation was -0.171125. In conclusion, it is confirmed that cryptocurrencies can have accurate in-sample models by applying the random forests method to a dataset. However, out-of-sample modeling is more difficult, but in some cases better than typical forms of financial data. It should also be noted that cryptocurrency data has similar properties to other related financial datasets, realizing future potential for system modeling for cryptocurrency within the financial world.

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Agent

Created

Date Created
2018-05

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Twitter Sentiment Analysis For Bitcoin Price Prediction

Description

Cryptocurrencies are notorious for its volatility. But with its incredible rise in price, Bitcoin keep being on the top among the trending topics on social media. Although doubts continue to rise with price, Bloomberg even make critics on Bitcoin as

Cryptocurrencies are notorious for its volatility. But with its incredible rise in price, Bitcoin keep being on the top among the trending topics on social media. Although doubts continue to rise with price, Bloomberg even make critics on Bitcoin as ‘the biggest bubble in the history’, some investors still hold strong enthusiasm and confidence towards Bitcoin. As contradicting opinions increase, it is worthy to dive into discussions on social media and use a scientific method to evaluate public’s non-negligible role in crypto price fluctuation.

Sentiment analysis, which is a notably method in text mining, can be used to extract the sentiment from people’s opinion. It then provides us with valuable perception on a topic from the public’s attitude, which create more opportunities for deeper analysis and prediction.

The thesis aims to investigate public’s sentiment towards Bitcoin through analyzing 10 million Bitcoin related tweets and assigning sentiment points on tweets, then using sentiment fluctuation as a factor to predict future crypto fluctuation. Price prediction is achieved by using a machine learning model called Recurrent Neural Network which automatically learns the pattern and generate following results with memory. The analysis revels slight connection between sentiment and crypto currency and the Neural Network model showed a strong connection between sentiment score and future price prediction.

Contributors

Agent

Created

Date Created
2018-12

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Basic Attention Token & Brave: Digital Marketing on the Blockchain

Description

This thesis will look into the cryptocurrency Basic Attention Token (BAT) and the browser they partnered with, Brave, to innovate the way that digital marketing dollars are spent. They believe that their browser and cryptocurrency will be able to remove

This thesis will look into the cryptocurrency Basic Attention Token (BAT) and the browser they partnered with, Brave, to innovate the way that digital marketing dollars are spent. They believe that their browser and cryptocurrency will be able to remove inefficiencies the digital marketing world is full of, and also giving some power to users with their data. The vision of this team is to create a marketing agreement with users that makes it so the marketing space they offer is a verified real individual without compromising this person's user data to large firms and keeps all information stored locally. We will cover the international landscape, BAT and Brave from a branding perspective, and get into some research into interest in adoption.

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Agent

Created

Date Created
2018-05

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The Past, Present, and Future of Cryptocurrency

Description

This thesis examines the usefulness of cryptocurrency and provides a research-backed conclusion on the future of this digital currency. This starts with a look into the history of fiat moneys: how they were originally created, how they were implemented in

This thesis examines the usefulness of cryptocurrency and provides a research-backed conclusion on the future of this digital currency. This starts with a look into the history of fiat moneys: how they were originally created, how they were implemented in past governments, and the resulting interactions between the currency and its users. The countries that were chosen for exploration demonstrate a few common trends throughout their execution of fiat currency. It is through the relationships dating all the way back to the Ancient Romans to the recent problems in Venezuela that provide a well-rounded scope of the issues. However, there have also been a few instances in which fiat currency has been successfully integrated, which furthers the advocacy towards an eventual implementation of government-regulated cryptocurrency.
This leads into an examination on the history of one cryptocurrency in particular, Bitcoin. This analysis includes the effects of the cryptomarket and the impact that it has had on various economies. Additionally, the blockchain is explored by first defining what it is and then its potential and current uses not only in the cryptomarket industry, but others as well. This includes a focus on the real estate market as well as banking. Using knowledge gained about the history of fiat money, cryptocurrencies, and the usefulness of the blockchain, this thesis compares the history of fiat currencies with the current implementation of cryptocurrency. Furthermore, the pros and cons of the possible implementation of cryptocurrency helps to provide an outlook on whether it can eventually be government regulated.

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Agent

Created

Date Created
2019-05

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Everything You Ever Wanted to Know About Bitcoin Mixers (But Were Afraid to Ask)

Description

The lack of fungibility in Bitcoin has forced its userbase to seek out tools that can heighten their anonymity. Third-party Bitcoin mixers utilize obfuscation techniques to protect participants from blockchain analysis. In recent years, various centralized and decentralized Bitcoin mixing

The lack of fungibility in Bitcoin has forced its userbase to seek out tools that can heighten their anonymity. Third-party Bitcoin mixers utilize obfuscation techniques to protect participants from blockchain analysis. In recent years, various centralized and decentralized Bitcoin mixing implementations have been proposed in academic literature. Although these methods depict a threat-free environment for users to preserve their anonymity, public Bitcoin mixers continue to be associated with theft and poor implementation.

This research explores the public Bitcoin mixer ecosystem to identify if today's mixing services have adopted academically proposed solutions. This is done through real-world interactions with publicly available mixers to analyze both implementation and resistance to common threats in the mixing landscape. First, proposed decentralized and centralized mixing protocols found in literature are outlined. Then, data is presented from 19 publicly announced mixing services available on the deep web and clearnet. The services are categorized based on popularity with the Bitcoin community and experiments are conducted on five public mixing services: ChipMixer, MixTum, Bitcoin Mixer, CryptoMixer, and Sudoku Wallet.

The results of the experiments highlight a clear gap between public and proposed Bitcoin mixers in both implementation and security. Today's mixing services focus on presenting users with a false sense of control to gain their trust rather then employing secure mixing techniques. As a result, the five selected services lack implementation of academically proposed techniques and display poor resistance to common mixer-related threats.

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Date Created
2020

The Need for a Cryptocurrency Accounting Standard: A Regulatory Analysis

Description

This thesis seeks to examine a nascent topic pertinent to the future of investment reporting to participants in global capital markets: cryptocurrency reporting. In the age of investor freedom, low to zero brokerage fees, and digital ‘do-it-yourself’ investing, many investors

This thesis seeks to examine a nascent topic pertinent to the future of investment reporting to participants in global capital markets: cryptocurrency reporting. In the age of investor freedom, low to zero brokerage fees, and digital ‘do-it-yourself’ investing, many investors and investing platforms have adopted the use of digital currencies. Since its inception in 2009, cryptocurrency has been surrounded by controversy, which impacted financial institutions holding it, companies using it in transactions, and investors trading it. With cryptocurrency’s inherent volatility and relatively little accounting guidance, these stakeholders have faced difficulty in making capital allocation decisions, properly recording their holdings and transactions, and learning how to engage in activities involving cryptocurrency. Moreover, cryptocurrency has caught the attention of market regulators due to these same factors.
Our project directly addresses this topic and explores the accounting implications of using cryptocurrency based on currently available authoritative and non-authoritative guidance. We further examine the need for authoritative reporting guidance, the regulatory bodies responsible for prescribing reporting guidance, and potential recommendations for future accounting standards. We begin by defining cryptocurrency and distinguishing it from other digital assets in Section 2. In Section 3, we discuss the risks presented by digital currencies and their inherent volatility. In Section 4, we describe the ways in which businesses currently use, treat, and interact with cryptocurrency from both transactional and accounting perspectives. In Section 5, we review, consolidate, and present the current guidance on digital currencies from the Big 4 accounting firms. In Section 6, we investigate the cryptocurrency disclosures of five large public US companies through an analysis of their annual reports. In Section 7, we research the FASB and SEC and their standard-setting processes to determine which organization is best suited to provide guidance on cryptocurrency reporting. As part of this task, we consider the role of these two regulatory agencies, their views and attitudes toward cryptocurrencies, and their jurisdictions over this area of financial reporting. This examination involves regulatory and public policy research, to understand the standard-setting process within the applicable regulatory body. Finally, in Section 8, we directly engage in the standard-setting process by drafting a comment letter to the FASB which includes the results of our research, the necessity (or lack thereof) for authoritative reporting guidance, and key issues that the Board should consider.

Contributors

Agent

Created

Date Created
2022-05

The Need for a Cryptocurrency Accounting Standard: A Regulatory Analysis

Description

This thesis seeks to examine a nascent topic pertinent to the future of investment reporting to participants in global capital markets: cryptocurrency reporting. In the age of investor freedom, low to zero brokerage fees, and digital ‘do-it-yourself’ investing, many investors

This thesis seeks to examine a nascent topic pertinent to the future of investment reporting to participants in global capital markets: cryptocurrency reporting. In the age of investor freedom, low to zero brokerage fees, and digital ‘do-it-yourself’ investing, many investors and investing platforms have adopted the use of digital currencies. Since its inception in 2009, cryptocurrency has been surrounded by controversy, which impacted financial institutions holding it, companies using it in transactions, and investors trading it. With cryptocurrency’s inherent volatility and relatively little accounting guidance, these stakeholders have faced difficulty in making capital allocation decisions, properly recording their holdings and transactions, and learning how to engage in activities involving cryptocurrency. Moreover, cryptocurrency has caught the attention of market regulators due to these same factors.
Our project directly addresses this topic and explores the accounting implications of using cryptocurrency based on currently available authoritative and non-authoritative guidance. We further examine the need for authoritative reporting guidance, the regulatory bodies responsible for prescribing reporting guidance, and potential recommendations for future accounting standards. We begin by defining cryptocurrency and distinguishing it from other digital assets in Section 2. In Section 3, we discuss the risks presented by digital currencies and their inherent volatility. In Section 4, we describe the ways in which businesses currently use, treat, and interact with cryptocurrency from both transactional and accounting perspectives. In Section 5, we review, consolidate, and present the current guidance on digital currencies from the Big 4 accounting firms. In Section 6, we investigate the cryptocurrency disclosures of five large public US companies through an analysis of their annual reports. In Section 7, we research the FASB and SEC and their standard-setting processes to determine which organization is best suited to provide guidance on cryptocurrency reporting. As part of this task, we consider the role of these two regulatory agencies, their views and attitudes toward cryptocurrencies, and their jurisdictions over this area of financial reporting. This examination involves regulatory and public policy research, to understand the standard-setting process within the applicable regulatory body. Finally, in Section 8, we directly engage in the standard-setting process by drafting a comment letter to the FASB which includes the results of our research, the necessity (or lack thereof) for authoritative reporting guidance, and key issues that the Board should consider.

Contributors

Agent

Created

Date Created
2022-05