Blockchain Networks: Token Design and Management Overview
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ACS Blockchain 2030
April 2019 Blockchain 2030 A Look at the Future of Blockchain in Australia Report prepared by Alexandra Bratanova, Dinesh Devaraj, Joanna Horton, Claire Naughtin, Ben Kloester, Kelly Trinh, Ingo Weber and David Dawson CITATION Bratanova, A., Devaraj, D., Horton, J., Naughtin, C., Kloester, B., Trinh, K., Weber, I., Dawson, D. (2019) Blockchain 2030: A Look at the Future of Blockchain in Australia. CSIRO Data61: Brisbane, Australia. ACKNOWLEDGEMENTS We are grateful for the many individuals who kindly offered their time, expertise and resources in this project. In particular, we thank the members of CSIRO’s Data61 who kindly provided blockchain use cases for this report. We also thank the individuals who participated in the stakeholder workshop and interviews conducted as part of this project, as well as to the reviewers of the report draft including ACS Blockchain Committee members. Special thanks to Neil Alexander, Kevin Brown, Karen Cohen, Katrina Donaghy, Vincent Gramoli, Robert Hanson, Davor Miskulin, Mick Motion- Wise and Mark Staples for their constructive feedback on the draft report. We also thank Burning Glass Technologies for their assistance in navigating the online job advertisement data. Finally, we are grateful to Melissa Johnston and Dmitry Bratanov from Queensland University of Technology for their help with the design and 3D printing of the scenario model. CURRENCY CONVERSION All dollar values indicate AUD figures unless specified otherwise. AUD figures were converted from other currencies wherever it was methodologically sound to do so. Past and present conversions were done using a yearly average exchange rate for the relevant year, whereas forecast value conversions were done using 2018’s average exchange rate since November 2017. -
Metadata and GIS
Metadata and GIS ® An ESRI White Paper • October 2002 ESRI 380 New York St., Redlands, CA 92373-8100, USA • TEL 909-793-2853 • FAX 909-793-5953 • E-MAIL [email protected] • WEB www.esri.com Copyright © 2002 ESRI All rights reserved. Printed in the United States of America. The information contained in this document is the exclusive property of ESRI. This work is protected under United States copyright law and other international copyright treaties and conventions. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or by any information storage or retrieval system, except as expressly permitted in writing by ESRI. All requests should be sent to Attention: Contracts Manager, ESRI, 380 New York Street, Redlands, CA 92373-8100, USA. The information contained in this document is subject to change without notice. U.S. GOVERNMENT RESTRICTED/LIMITED RIGHTS Any software, documentation, and/or data delivered hereunder is subject to the terms of the License Agreement. In no event shall the U.S. Government acquire greater than RESTRICTED/LIMITED RIGHTS. At a minimum, use, duplication, or disclosure by the U.S. Government is subject to restrictions as set forth in FAR §52.227-14 Alternates I, II, and III (JUN 1987); FAR §52.227-19 (JUN 1987) and/or FAR §12.211/12.212 (Commercial Technical Data/Computer Software); and DFARS §252.227-7015 (NOV 1995) (Technical Data) and/or DFARS §227.7202 (Computer Software), as applicable. Contractor/Manufacturer is ESRI, 380 New York Street, Redlands, CA 92373- 8100, USA. -
Creating Permissionless Blockchains of Metadata Records Dejah Rubel
Articles No Need to Ask: Creating Permissionless Blockchains of Metadata Records Dejah Rubel ABSTRACT This article will describe how permissionless metadata blockchains could be created to overcome two significant limitations in current cataloging practices: centralization and a lack of traceability. The process would start by creating public and private keys, which could be managed using digital wallet software. After creating a genesis block, nodes would submit either a new record or modifications to a single record for validation. Validation would rely on a Federated Byzantine Agreement consensus algorithm because it offers the most flexibility for institutions to select authoritative peers. Only the top tier nodes would be required to store a copy of the entire blockchain thereby allowing other institutions to decide whether they prefer to use the abridged version or the full version. INTRODUCTION Several libraries and library vendors are investigating how blockchain could improve activities such as scholarly publishing, content dissemination, and copyright enforcement. A few organizations, such as Katalysis, are creating prototypes or alpha versions of blockchain platforms and products.1 Although there has been some discussion about using blockchains for metadata creation and management, only one company appears to be designing such a product. Therefore, this article will describe how permissionless blockchains of metadata records could be created, managed, and stored to overcome current challenges with metadata creation and management. LIMITATIONS OF CURRENT PRACTICES Metadata standards, processes, and systems are changing to meet twenty-first century information needs and expectations. There are two significant limitations, however, to our current metadata creation and modification practices that have not been addressed: centralization and traceability. -
The Magnificent Seven
The Magnificent Seven A closer look at functional attributes of blockchain platforms The Magnificent Seven1 Following a whitepaper published in late 2008, the Bitcoin system came into being in 2009, and the underlying technology became what we refer to as Blockchain today. 1 The top seven cryptocurrencies covered a good variety of attributes that are essential to gain a more thorough understanding of the potentials offered by this new technology. The Magnificent Seven 1 Since then, a variety of different cryptocurrency platforms have been created, and based on data from CoinMarketCap (https://coinmarketcap.com/), as of 27 March 2021, there were 8,964 crypto tokens in existence, with a total Market Cap of over USD$1.6 Trillion. The top seven cryptocurrencies made up around 80% of the global market capitalisation: Market Cap Token Symbol (billion USD) % Bitcoin BTC 1,026.8 59.23 Ethereum ETH 0,196.2 11.32 Cardano ADA 0,040.2 02.32 Binance Coin BNB 0,039.1 02.25 Tether USDT 0,038.5 02.22 Polkadot DOT 0,030.4 01.75 XRP XRP 0,025.8 01.49 80.58 Rest of 8,957 tokens 19.42 Bitcoin alone represents nearly 60% of the total cryptocurrency value, with Ethereum being the second highest by value. However, these cryptocurrencies are not in fact the same: value aside, they differ in some interesting ways, which in turn affect their “function” and value proposition. Asset Smart Token Year Type Minable Consensus2 Limit Backed Contract BTC 2009 Native Yes POW No 21m ETH 2012 ERC-20 Yes / No3 POW | POS No Y none ADA 2017 Native No POS No Y 45bn BNB 2017 ERC-20 No Tendermint No 100m Multiple Forms: USDT-Omni, USDT 2014 USDT-TRON, No NA USD none USDT-ERC20 and USDT-EOS DOT 2017 Native NPOS No Y none Ripple XRP 2012 Native No Transaction No 100bn Protocol Source: https://icorating.com/ and https://coincodex.com/ 2 In simple terms, consensus mechanism is a means of authenticating and validating transactions on a Blockchain (or distributed ledger) without having to trust or rely on a central authority. -
Rev. Rul. 2019-24 ISSUES (1) Does a Taxpayer Have Gross Income Under
26 CFR 1.61-1: Gross income. (Also §§ 61, 451, 1011.) Rev. Rul. 2019-24 ISSUES (1) Does a taxpayer have gross income under § 61 of the Internal Revenue Code (Code) as a result of a hard fork of a cryptocurrency the taxpayer owns if the taxpayer does not receive units of a new cryptocurrency? (2) Does a taxpayer have gross income under § 61 as a result of an airdrop of a new cryptocurrency following a hard fork if the taxpayer receives units of new cryptocurrency? BACKGROUND Virtual currency is a digital representation of value that functions as a medium of exchange, a unit of account, and a store of value other than a representation of the United States dollar or a foreign currency. Foreign currency is the coin and paper money of a country other than the United States that is designated as legal tender, circulates, and is customarily used and accepted as a medium of exchange in the country of issuance. See 31 C.F.R. § 1010.100(m). - 2 - Cryptocurrency is a type of virtual currency that utilizes cryptography to secure transactions that are digitally recorded on a distributed ledger, such as a blockchain. Units of cryptocurrency are generally referred to as coins or tokens. Distributed ledger technology uses independent digital systems to record, share, and synchronize transactions, the details of which are recorded in multiple places at the same time with no central data store or administration functionality. A hard fork is unique to distributed ledger technology and occurs when a cryptocurrency on a distributed ledger undergoes a protocol change resulting in a permanent diversion from the legacy or existing distributed ledger. -
Implementation of Smart Contracts for Blockchain Based Iot Applications
Implementation of smart contracts for blockchain based IoT applications Georgios Papadodimas, Georgios Palaiokrasas, Antoniοs Litke, Theodora Varvarigou Electrical and Computer Engineering Department National Technical University of Athens Athens, Greece [email protected], [email protected], [email protected], [email protected] Abstract—An increasing number of people, organizations [11], funding mechanisms [12] and many more. A milestone and corporations are expressing their interest in the for the course of blockchain technology was the development decentralization technology of the blockchain. The creation of of Ethereum project, offering new solutions by enabling smart the blockchain marks the time when we start building contracts’ implementation and execution. The Ethereum distributed peer-to-peer networks consisting of non-trusting blockchain is a Turing complete platform for executing smart members that interact with each other without a trusted contracts [13], [14], and not just a ledger serving financial intermediary but in a verifiable manner. In this paper, we transactions. It is a suite of tools and protocols for the creation propose a decentralized application (DApp) based on and operation of Decentralized Applications (DApps), blockchain technology for sharing Internet of Things (IoT) “applications that run exactly as programmed without any sensors’ data, and demonstrate various challenges addressed possibility of downtime, censorship, fraud or third-party during the development process. This application combines blockchain technology with IoT and operates through smart interference”. It also supports a contract-oriented, high-level, contracts that are executed on the Ethereum blockchain. More Turing-complete programming language [15], allowing specifically the application is a platform for sharing (buying and anyone to write smart contracts and create DApps. -
White Paper of Bitcoin Ultimatum Introduction
White Paper of Bitcoin Ultimatum Introduction 1. Problematic of the Blockchain 4. Bitcoin Ultimatum Architecture industry 4.1. Network working principle 1.1. Transactions Anonymity 4.1.1. Main Transaction Types 1.2. Insufficient Development of Key Aspects of the 4.1.1.1. Public transactions Technology 4.1.1.2. Private transactions 1.3. Centralization 4.1.2. Masternode Network 1.4. Mining pools and commission manipulation 4.2. How to become a validator or masternode in 1.5. Decrease in Transaction Speeds BTCU 4.3. Network Scaling Principle 2. BTCU main solutions and concepts 4.4. Masternodes and Validators Ranking System 4.5. Smart Contracts 2.1. Consensus algorithm basis 4.6. Anonymization principle 2.2. Leasing and Staking 4.7. Staking and Leasing 2.3. Projects tokenization and DeFi 4.7.1. Staking 2.4. Transactions Privacy 4.7.2. Leasing 2.5. Atomic Swaps 4.7.2 Multileasing 4.8. BTCU Technical Specifications 3. Executive Summary 4.8.1. Project Stack 4.8.2. Private key generation algorithm 5. Bitcoin Ultimatum Economy 5.1. Initial Supply and Airdrop 5.2. Leasing Economy 5.3. Masternodes and Validators Commission 5.4. Transactions Fee 6. Project Roadmap 7. Legal Introduction The cryptocurrency market is inextricably tied to the blockchain – its fundamental and underlying technology. The modern market is brimming with an abundance of blockchain protocols, algorithms, and concepts, all of which have fostered the development of a wide variety of services and applications. The modern blockchain market offers users an alternative to both established financial systems and ecosystems/infrastructures of applications and services. -
Linking Wallets and Deanonymizing Transactions in the Ripple Network
Proceedings on Privacy Enhancing Technologies ; 2016 (4):436–453 Pedro Moreno-Sanchez*, Muhammad Bilal Zafar, and Aniket Kate* Listening to Whispers of Ripple: Linking Wallets and Deanonymizing Transactions in the Ripple Network Abstract: The decentralized I owe you (IOU) transac- 1 Introduction tion network Ripple is gaining prominence as a fast, low- cost and efficient method for performing same and cross- In recent years, we have observed a rather unexpected currency payments. Ripple keeps track of IOU credit its growth of IOU transaction networks such as Ripple [36, users have granted to their business partners or friends, 40]. Its pseudonymous nature, ability to perform multi- and settles transactions between two connected Ripple currency transactions across the globe in a matter of wallets by appropriately changing credit values on the seconds, and potential to monetize everything [15] re- connecting paths. Similar to cryptocurrencies such as gardless of jurisdiction have been pivotal to their suc- Bitcoin, while the ownership of the wallets is implicitly cess so far. In a transaction network [54, 55, 59] such as pseudonymous in Ripple, IOU credit links and transac- Ripple [10], users express trust in each other in terms tion flows between wallets are publicly available in an on- of I Owe You (IOU) credit they are willing to extend line ledger. In this paper, we present the first thorough each other. This online approach allows transactions in study that analyzes this globally visible log and charac- fiat money, cryptocurrencies (e.g., bitcoin1) and user- terizes the privacy issues with the current Ripple net- defined currencies, and improves on some of the cur- work. -
Beauty Is Not in the Eye of the Beholder
Insight Consumer and Wealth Management Digital Assets: Beauty Is Not in the Eye of the Beholder Parsing the Beauty from the Beast. Investment Strategy Group | June 2021 Sharmin Mossavar-Rahmani Chief Investment Officer Investment Strategy Group Goldman Sachs The co-authors give special thanks to: Farshid Asl Managing Director Matheus Dibo Shahz Khatri Vice President Vice President Brett Nelson Managing Director Michael Murdoch Vice President Jakub Duda Shep Moore-Berg Harm Zebregs Vice President Vice President Vice President Shivani Gupta Analyst Oussama Fatri Yousra Zerouali Vice President Analyst ISG material represents the views of ISG in Consumer and Wealth Management (“CWM”) of GS. It is not financial research or a product of GS Global Investment Research (“GIR”) and may vary significantly from those expressed by individual portfolio management teams within CWM, or other groups at Goldman Sachs. 2021 INSIGHT Dear Clients, There has been enormous change in the world of cryptocurrencies and blockchain technology since we first wrote about it in 2017. The number of cryptocurrencies has increased from about 2,000, with a market capitalization of over $200 billion in late 2017, to over 8,000, with a market capitalization of about $1.6 trillion. For context, the market capitalization of global equities is about $110 trillion, that of the S&P 500 stocks is $35 trillion and that of US Treasuries is $22 trillion. Reported trading volume in cryptocurrencies, as represented by the two largest cryptocurrencies by market capitalization, has increased sixfold, from an estimated $6.8 billion per day in late 2017 to $48.6 billion per day in May 2021.1 This data is based on what is called “clean data” from Coin Metrics; the total reported trading volume is significantly higher, but much of it is artificially inflated.2,3 For context, trading volume on US equity exchanges doubled over the same period. -
On the Relationship of Cryptocurrency Price with US Stock and Gold Price Using Copula Models
mathematics Article On the Relationship of Cryptocurrency Price with US Stock and Gold Price Using Copula Models Jong-Min Kim 1 , Seong-Tae Kim 2 and Sangjin Kim 3,* 1 Statistics Discipline, University of Minnesota at Morris, Morris, MN 56267, USA; [email protected] 2 Department of Mathematics, North Carolina A&T State University, Greensboro, NC 27411, USA; [email protected] 3 Department of Management and Information Systems, Dong-A University, Busan 49236, Korea * Correspondence: [email protected] Received: 15 September 2020; Accepted: 20 October 2020; Published: 23 October 2020 Abstract: This paper examines the relationship of the leading financial assets, Bitcoin, Gold, and S&P 500 with GARCH-Dynamic Conditional Correlation (DCC), Nonlinear Asymmetric GARCH DCC (NA-DCC), Gaussian copula-based GARCH-DCC (GC-DCC), and Gaussian copula-based Nonlinear Asymmetric-DCC (GCNA-DCC). Under the high volatility financial situation such as the COVID-19 pandemic occurrence, there exist a computation difficulty to use the traditional DCC method to the selected cryptocurrencies. To solve this limitation, GC-DCC and GCNA-DCC are applied to investigate the time-varying relationship among Bitcoin, Gold, and S&P 500. In terms of log-likelihood, we show that GC-DCC and GCNA-DCC are better models than DCC and NA-DCC to show relationship of Bitcoin with Gold and S&P 500. We also consider the relationships among time-varying conditional correlation with Bitcoin volatility, and S&P 500 volatility by a Gaussian Copula Marginal Regression (GCMR) model. The empirical findings show that S&P 500 and Gold price are statistically significant to Bitcoin in terms of log-return and volatility. -
Versus Decentralized Prediction Markets for Financial Assets
Wolfgang Pacher Centralized- versus Decentralized Prediction Markets for Financial Assets Are blockchain-based prediction market applications simply the better solution to forecasting financial assets? MASTER THESIS submitted in fulfilment of the requirements for the degree of Master of Science Programme: Master's programme Applied Business Administration Branch of study: General Management Alpen-Adria-Universität Klagenfurt Evaluator Assoc.Prof.Mag.Dr. Alexander Brauneis Alpen-Adria-Universität Klagenfurt Institut für Finanzmanagement Klagenfurt, May 2019 Affidavit I hereby declare in lieu of an oath that - the submitted academic paper is entirely my own work and that no auxiliary materials have been used other than those indicated, - I have fully disclosed all assistance received from third parties during the process of writing the thesis, including any significant advice from supervisors, - any contents taken from the works of third parties or my own works that have been included either literally or in spirit have been appropriately marked and the respective source of the information has been clearly identified with precise bibliographical references (e.g. in footnotes), - to date, I have not submitted this paper to an examining authority either in Austria or abroad and that - when passing on copies of the academic thesis (e.g. in bound, printed or digital form), I will ensure that each copy is fully consistent with the submitted digital version. I understand that the digital version of the academic thesis submitted will be used for the purpose of conducting a plagiarism assessment. I am aware that a declaration contrary to the facts will have legal consequences. Wolfgang Pacher m.p. -
Implementation and Analysis of Key Reinstallation Attack
International Journal of Innovations in Engineering and Technology (IJIET) http://dx.doi.org/10.21172/ijiet.133.21 Implementation and Analysis of Key Reinstallation Attack Saba Khanum1, Ishita kalra2 1Department of Information Technology, MSIT, Janakpuri, New Delhi, India 2Department of Computer Science and Engineering, MSIT, Janakpuri, New Delhi, India Abstract- The objective of the paper is to implement and analyzed the impact of Key Reinstallation Attack (popularly dubbed as KRACK) on debian based machines. The paper elucidates on the capture of packets through the attack without being a part of the network and affecting the target machines with the help of an attack machine placed inside the network. It basically exploits the nonce of the network which ultimately paves way to the execution of the attack. The issue tends to gather more eyeballs as it affects all devices using Wi-Fi through WPA2 protocol. Hence, the catastrophe complimented along the attack is severe. The analysis of the impact is carried on by analyzing the type of packets visible as well as captured during the course of the implementation. Here, we have created a python script which identifies whether the targeted machine is vulnerable to KRACK or not and corresponding to that the packet capture starts and ultimately, the impact is measured. Keywords – KRACK, weakness, WPA2, attack, security I. INTRODUCTION The presence of the bug has been detected in the cryptographic nonce of the WPA2 and can be used to clone a connected party to reinstall a used key. The presence of the nonce is specifically intended to prevent reuse, but in this particular case, it gives malicious users the opportunity to replay, decrypt, or forge packets, ultimately enabling them to access all previously considered encrypted information without actually being part of the network.