SMARTPOOL: Practical Decentralized Pooled Mining
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Evmpatch: Timely and Automated Patching of Ethereum Smart Contracts
EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts Michael Rodler Wenting Li Ghassan O. Karame University of Duisburg-Essen NEC Laboratories Europe NEC Laboratories Europe Lucas Davi University of Duisburg-Essen Abstract some of these contracts hold, smart contracts have become an appealing target for attacks. Programming errors in smart Recent attacks exploiting errors in smart contract code had contract code can have devastating consequences as an attacker devastating consequences thereby questioning the benefits of can exploit these bugs to steal cryptocurrency or tokens. this technology. It is currently highly challenging to fix er- rors and deploy a patched contract in time. Instant patching is Recently, the blockchain community has witnessed several especially important since smart contracts are always online incidents due smart contract errors [7, 39]. One especially due to the distributed nature of blockchain systems. They also infamous incident is the “TheDAO” reentrancy attack, which manage considerable amounts of assets, which are at risk and resulted in a loss of over 50 million US Dollars worth of often beyond recovery after an attack. Existing solutions to Ether [31]. This led to a highly debated hard-fork of the upgrade smart contracts depend on manual and error-prone pro- Ethereum blockchain. Several proposals demonstrated how to defend against reentrancy vulnerabilities either by means of cesses. This paper presents a framework, called EVMPATCH, to instantly and automatically patch faulty smart contracts. offline analysis at development time or by performing run-time validation [16, 23, 32, 42]. Another infamous incident is the EVMPATCH features a bytecode rewriting engine for the pop- ular Ethereum blockchain, and transparently/automatically parity wallet attack [39]. -
Decentralized Autonomous Organization Supplement."
ARTICLE 1 - PROVISIONS 17-31-101. Short title. This chapter shall be known and may be cited as the "Wyoming Decentralized Autonomous Organization Supplement." 17-31-102. Definitions. (a) As used in this chapter: (i) "Blockchain" means as defined in W.S. 34-29- 106(g)(i); (ii) "Decentralized autonomous organization" means a limited liability company organized under this chapter; (iii) "Digital asset" means as defined in W.S. 34-29- 101(a)(i); (iv) "Limited liability autonomous organization" or "LAO" means a decentralized autonomous organization; (v) "Majority of the members," means the approval of more than fifty percent (50%) of participating membership interests in a vote for which a quorum of members is participating. A person dissociated as a member as set forth in W.S. 17-29-602 shall not be included for the purposes of calculating the majority of the members; (vi) "Membership interest" means a member's ownership share in a member managed decentralized autonomous organization, which may be defined in the entity's articles of organization, smart contract or operating agreement. A membership interest may also be characterized as either a digital security or a digital consumer asset as defined in W.S. 34-29-101, if designated as such in the organization's articles of organization or operating agreement; (vii) "Open blockchain" means a blockchain as defined in W.S. 34-29-106(g)(i) that is publicly accessible and its ledger of transactions is transparent; (viii) "Quorum" means a minimum requirement on the sum of membership interests participating in a vote for that vote to be valid; 1 (ix) "Smart contract" means an automated transaction, as defined in W.S. -
Bypassing Non-Outsourceable Proof-Of-Work Schemes Using Collateralized Smart Contracts
Bypassing Non-Outsourceable Proof-of-Work Schemes Using Collateralized Smart Contracts Alexander Chepurnoy1;2, Amitabh Saxena1 1 Ergo Platform [email protected], [email protected] 2 IOHK Research [email protected] Abstract. Centralized pools and renting of mining power are considered as sources of possible censorship threats and even 51% attacks for de- centralized cryptocurrencies. Non-outsourceable Proof-of-Work schemes have been proposed to tackle these issues. However, tenets in the folk- lore say that such schemes could potentially be bypassed by using es- crow mechanisms. In this work, we propose a concrete example of such a mechanism which is using collateralized smart contracts. Our approach allows miners to bypass non-outsourceable Proof-of-Work schemes if the underlying blockchain platform supports smart contracts in a sufficiently advanced language. In particular, the language should allow access to the PoW solution. At a high level, our approach requires the miner to lock collateral covering the reward amount and protected by a smart contract that acts as an escrow. The smart contract has logic that allows the pool to collect the collateral as soon as the miner collects any block reward. We propose two variants of the approach depending on when the collat- eral is bound to the block solution. Using this, we show how to bypass previously proposed non-outsourceable Proof-of-Work schemes (with the notable exception for strong non-outsourceable schemes) and show how to build mining pools for such schemes. 1 Introduction Security of Bitcoin and many other cryptocurrencies relies on so called Proof-of- Work (PoW) schemes (also known as scratch-off puzzles), which are mechanisms to reach fast consensus and guarantee immutability of the ledger. -
Blockchain & Cryptocurrency Regulation
Blockchain & Cryptocurrency Regulation Third Edition Contributing Editor: Josias N. Dewey Global Legal Insights Blockchain & Cryptocurrency Regulation 2021, Third Edition Contributing Editor: Josias N. Dewey Published by Global Legal Group GLOBAL LEGAL INSIGHTS – BLOCKCHAIN & CRYPTOCURRENCY REGULATION 2021, THIRD EDITION Contributing Editor Josias N. Dewey, Holland & Knight LLP Head of Production Suzie Levy Senior Editor Sam Friend Sub Editor Megan Hylton Consulting Group Publisher Rory Smith Chief Media Officer Fraser Allan We are extremely grateful for all contributions to this edition. Special thanks are reserved for Josias N. Dewey of Holland & Knight LLP for all of his assistance. Published by Global Legal Group Ltd. 59 Tanner Street, London SE1 3PL, United Kingdom Tel: +44 207 367 0720 / URL: www.glgroup.co.uk Copyright © 2020 Global Legal Group Ltd. All rights reserved No photocopying ISBN 978-1-83918-077-4 ISSN 2631-2999 This publication is for general information purposes only. It does not purport to provide comprehensive full legal or other advice. Global Legal Group Ltd. and the contributors accept no responsibility for losses that may arise from reliance upon information contained in this publication. This publication is intended to give an indication of legal issues upon which you may need advice. Full legal advice should be taken from a qualified professional when dealing with specific situations. The information contained herein is accurate as of the date of publication. Printed and bound by TJ International, Trecerus Industrial Estate, Padstow, Cornwall, PL28 8RW October 2020 PREFACE nother year has passed and virtual currency and other blockchain-based digital assets continue to attract the attention of policymakers across the globe. -
Article Friis Glaser
International Journal of Community Currency Research 2018 VOLUME 22 (SUMMER) EXTENDING BLOCKCHAIN TECHNOLOGY TO HOST CUSTOMIZA- BLE AND INTEROPERABLE COMMUNITY CURRENCIES Gustav R.B. Friis* and Florian Glaser** * Brainbot Technologies AG, Mainz ** Karlsruhe Institute of Technology (KIT), Karlsruhe ABSTRACT The goal of this paper is to propose an open platform for secure and interoperable virtual community currencies. We follow the established information systems design-science approach to develop a prototype that aims to combine best practices for building mutual-credit community currencies with the unique features of blockchain technology. The result is a specification of an open Internet platform that enables users to join and to host customized community currencies. The hosted currencies can be classified as credit-based future type of money with decentralized issuance. Furthermore, we describe how the transparency, security and interoperability properties of blockchain technology offer a solution to the inherent problems of existing, centrally operated community currency software. The characteristics of the prototype and its ability to fulfil the design-objectives are examined by a relative evaluation against existing payment and currency systems like Bitcoin, LETS and M-Pesa. KEYWORDS Virtual community currencies; blockchain technology; mutual-credit; LETS; Trustlines Network To cite this article: Friis, Gustav R.B. and Glaser, Florian (2018) ‘Extending Blockchain Technology to host Customizable and Interoperable Community Currencies’ International Journal of Community Currency Research 2018 Volume 22 (Summer) 71-84 <www.ijccr.net> ISSN 1325-9547. DOI http://dx.doi.org/10.15133/j.ijccr.2018.017 INTERNATIONAL JOURNAL OF COMMUNITY CURRENCY RESEARCH 2018 VOLUME 22 (SUMMER) 71-84 FRIIS & GLASER 1. -
More Legal Aspects of Smart Contract Applications
More Legal Aspects of Smart Contract Applications Token Sales, Capital Markets, Supply Chain Management, Government and Smart Cities, Real Estate Registries, and Enabling Self-Sovereign Identity J. DAX HANSEN | PARTNER LAURIE ROSINI | ASSOCIATE CARLA L. REYES | ASSISTANT PROFESSOR OF LAW +1.206.359.6324 +1.206.359.3052 Director of Legal RnD - Michigan State University College of Law [email protected] [email protected] Faculty Associate - Berkman Klein Center for Internet & Society at Harvard University [email protected] PerkinsCoie.com/Blockchain Perkins Coie LLP | October 2018 Table of Contents INTRODUCTION .............................................................................................................................................................................. 3 I. A (VERY) BRIEF INTRODUCTION TO SMART CONTRACTS ............................................................................................... 3 THE ORIGINS OF SMART CONTRACTS ........................................................................................................................................................................... 3 SMART CONTRACTS IN A DISTRIBUTED LEDGER TECHNOLOGY WORLD ....................................................................................................... 4 II. CURRENT ACADEMIC LITERATURE AND INDUSTRY INITIATIVES RELATING TO SMART CONTRACTS .................... 6 SMART CONTRACTS AND CONTRACT LAW ................................................................................................................................................................ -
ISDA Legal Guidelines for Smart Derivatives Contracts: Foreign Exchange Derivatives
ISDA Legal Guidelines for Smart Derivatives Contracts: Foreign Exchange Derivatives Contents Disclaimer .................................................................................................................................. 3 Introduction ................................................................................................................................ 4 The Over-the-Counter FX Market ............................................................................................... 5 Types of FX ............................................................................................................................... 6 Building the foundation for Smart Derivatives Contracts ............................................................11 Constructing Smart Derivatives Contracts for FX ......................................................................16 Valuations and Calculations ......................................................................................................17 Issues for technology developers to consider ............................................................................20 Settlement .................................................................................................................................32 Clearing ....................................................................................................................................37 Reporting ..................................................................................................................................37 -
Liquidity Or Leakage Plumbing Problems with Cryptocurrencies
Liquidity Or Leakage Plumbing Problems With Cryptocurrencies March 2018 Liquidity Or Leakage - Plumbing Problems With Cryptocurrencies Liquidity Or Leakage Plumbing Problems With Cryptocurrencies Rodney Greene Quantitative Risk Professional Advisor to Z/Yen Group Bob McDowall Advisor to Cardano Foundation Distributed Futures 1/60 © Z/Yen Group, 2018 Liquidity Or Leakage - Plumbing Problems With Cryptocurrencies Foreword Liquidity is the probability that an asset can be converted into an expected amount of value within an expected amount of time. Any token claiming to be ‘money’ should be very liquid. Cryptocurrencies often exhibit high price volatility and wide spreads between their buy and sell prices into fiat currencies. In other markets, such high volatility and wide spreads might indicate low liquidity, i.e. it is difficult to turn an asset into cash. Normal price falls do not increase the number of sellers but should increase the number of buyers. A liquidity hole is where price falls do not bring out buyers, but rather generate even more sellers. If cryptocurrencies fail to provide easy liquidity, then they fail as mediums of exchange, one of the principal roles of money. However, there are a number of ways of assembling a cryptocurrency and a number of parameters, such as the timing of trades, the money supply algorithm, and the assembling of blocks, that might be done in better ways to improve liquidity. This research should help policy makers look critically at what’s needed to provide good liquidity with these exciting systems. Michael Parsons FCA Chairman, Cardano Foundation, Distributed Futures 2/60 © Z/Yen Group, 2018 Liquidity Or Leakage - Plumbing Problems With Cryptocurrencies Contents Foreword .............................................................................................................. -
Transparent and Collaborative Proof-Of-Work Consensus
StrongChain: Transparent and Collaborative Proof-of-Work Consensus Pawel Szalachowski, Daniël Reijsbergen, and Ivan Homoliak, Singapore University of Technology and Design (SUTD); Siwei Sun, Institute of Information Engineering and DCS Center, Chinese Academy of Sciences https://www.usenix.org/conference/usenixsecurity19/presentation/szalachowski This paper is included in the Proceedings of the 28th USENIX Security Symposium. August 14–16, 2019 • Santa Clara, CA, USA 978-1-939133-06-9 Open access to the Proceedings of the 28th USENIX Security Symposium is sponsored by USENIX. StrongChain: Transparent and Collaborative Proof-of-Work Consensus Pawel Szalachowski1 Daniel¨ Reijsbergen1 Ivan Homoliak1 Siwei Sun2;∗ 1Singapore University of Technology and Design (SUTD) 2Institute of Information Engineering and DCS Center, Chinese Academy of Sciences Abstract a cryptographically-protected append-only list [2] is intro- duced. This list consists of transactions grouped into blocks Bitcoin is the most successful cryptocurrency so far. This and is usually referred to as a blockchain. Every active pro- is mainly due to its novel consensus algorithm, which is tocol participant (called a miner) collects transactions sent based on proof-of-work combined with a cryptographically- by users and tries to solve a computationally-hard puzzle in protected data structure and a rewarding scheme that incen- order to be able to write to the blockchain (the process of tivizes nodes to participate. However, despite its unprece- solving the puzzle is called mining). When a valid solution dented success Bitcoin suffers from many inefficiencies. For is found, it is disseminated along with the transactions that instance, Bitcoin’s consensus mechanism has been proved to the miner wishes to append. -
3Rd Global Cryptoasset Benchmarking Study
3RD GLOBAL CRYPTOASSET BENCHMARKING STUDY Apolline Blandin, Dr. Gina Pieters, Yue Wu, Thomas Eisermann, Anton Dek, Sean Taylor, Damaris Njoki September 2020 supported by Disclaimer: Data for this report has been gathered primarily from online surveys. While every reasonable effort has been made to verify the accuracy of the data collected, the research team cannot exclude potential errors and omissions. This report should not be considered to provide legal or investment advice. Opinions expressed in this report reflect those of the authors and not necessarily those of their respective institutions. TABLE OF CONTENTS FOREWORDS ..................................................................................................................................................4 RESEARCH TEAM ..........................................................................................................................................6 ACKNOWLEDGEMENTS ............................................................................................................................7 EXECUTIVE SUMMARY ........................................................................................................................... 11 METHODOLOGY ........................................................................................................................................ 14 SECTION 1: INDUSTRY GROWTH INDICATORS .........................................................................17 Employment figures ..............................................................................................................................................................................................................17 -
Evolutionary Game for Mining Pool Selection in Blockchain
1 Evolutionary Game for Mining Pool Selection in Blockchain Networks Xiaojun Liu∗†, Wenbo Wang†, Dusit Niyato†, Narisa Zhao∗ and Ping Wang† ∗Institute of Systems Engineering, Dalian University of Technology, Dalian, China, 116024 †School of Computer Engineering, Nanyang Technological University, Singapore, 639798 Abstract—In blockchain networks adopting the proof-of-work studies [3] have shown that the Nakamoto protocol is able schemes, the monetary incentive is introduced by the Nakamoto to guarantee the persistence and liveness of a blockchain in consensus protocol to guide the behaviors of the full nodes (i.e., a Byzantine environment. In other words, when a majority block miners) in the process of maintaining the consensus about the blockchain state. The block miners have to devote their of the mining nodes honestly follow the Nakamoto protocol, computation power measured in hash rate in a crypto-puzzle the transactional data on the blockchain are guaranteed to be solving competition to win the reward of publishing (a.k.a., immutable once they are recorded. mining) new blocks. Due to the exponentially increasing difficulty In the Nakamoto protocol, the financial incentive mecha- of the crypto-puzzle, individual block miners tends to join mining nism consists of two parts: (a) a computation-intensive crypto- pools, i.e., the coalitions of miners, in order to reduce the income variance and earn stable profits. In this paper, we study the puzzle solving process to make Sybil attacks financially unaf- dynamics of mining pool selection in a blockchain network, where fordable, and (b) a reward generation process to award the mining pools may choose arbitrary block mining strategies. -
A View from Mining Pools
1 Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools Canhui Wang, Graduate Student Member, IEEE, Xiaowen Chu, Senior Member, IEEE, and Qin Yang, Senior Member, IEEE Abstract—Bitcoin network, with the market value of $68 billion as of January 2019, has received much attention from both industry and the academy. Mining pools, the main components of the Bitcoin network, dominate the computing resources and play essential roles in network security and performance aspects. Although many existing measurements of the Bitcoin network are available, little is known about the details of mining pool behaviors (e.g., empty blocks, mining revenue and transaction collection strategies) and their effects on the Bitcoin end users (e.g., transaction fees, transaction delay and transaction acceptance rate). This paper aims to fill this gap with a systematic study of mining pools. We traced over 1.56 hundred thousand blocks (including about 257 million historical transactions) from February 2016 to January 2019 and collected over 120.25 million unconfirmed transactions from March 2018 to January 2019. Then we conducted a board range of measurements on the pool evolutions, labeled transactions (blocks) as well as real-time network traffics, and discovered new interesting observations and features. Specifically, our measurements show the following. 1) A few mining pools entities continuously control most of the computing resources of the Bitcoin network. 2) Mining pools are caught in a prisoner’s dilemma where mining pools compete to increase their computing resources even though the unit profit of the computing resource decreases. 3) Mining pools are stuck in a Malthusian trap where there is a stage at which the Bitcoin incentives are inadequate for feeding the exponential growth of the computing resources.