Turning Bitcoins Into the Best-Coins
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Useful Computation on the Block Chain The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Yeung, Fuk. 2019. Useful Computation on the Block Chain. Master's thesis, Harvard Extension School. Citable link https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37364565 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA 111 Useful Computation on the Block Chain Fuk Yeung A Thesis in the Field of Information Technology for the Degree of Master of Liberal Arts in Extension Studies Harvard University November 2019 Copyright 2019 [Fuk Yeung] Abstract The recent growth of blockchain technology and its usage has increased the size of cryptocurrency networks. However, this increase has come at the cost of high energy consumption due to the processing power needed to maintain large cryptocurrency networks. In the largest networks, this processing power is attributed to wasted computations centered around solving a Proof of Work algorithm. There have been several attempts to address this problem and it is an area of continuing improvement. We will present a summary of proposed solutions as well as an in-depth look at a promising alternative algorithm known as Proof of Useful Work. This solution will redirect wasted computation towards useful work. We will show that this is a viable alternative to Proof of Work. Dedication Thank you to everyone who has supported me throughout the process of writing this piece. -
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. -
Piecework: Generalized Outsourcing Control for Proofs of Work
(Short Paper): PieceWork: Generalized Outsourcing Control for Proofs of Work Philip Daian1, Ittay Eyal1, Ari Juels2, and Emin G¨unSirer1 1 Department of Computer Science, Cornell University, [email protected],[email protected],[email protected] 2 Jacobs Technion-Cornell Institute, Cornell Tech [email protected] Abstract. Most prominent cryptocurrencies utilize proof of work (PoW) to secure their operation, yet PoW suffers from two key undesirable prop- erties. First, the work done is generally wasted, not useful for anything but the gleaned security of the cryptocurrency. Second, PoW is natu- rally outsourceable, leading to inegalitarian concentration of power in the hands of few so-called pools that command large portions of the system's computation power. We introduce a general approach to constructing PoW called PieceWork that tackles both issues. In essence, PieceWork allows for a configurable fraction of PoW computation to be outsourced to workers. Its controlled outsourcing allows for reusing the work towards additional goals such as spam prevention and DoS mitigation, thereby reducing PoW waste. Meanwhile, PieceWork can be tuned to prevent excessive outsourcing. Doing so causes pool operation to be significantly more costly than today. This disincentivizes aggregation of work in mining pools. 1 Introduction Distributed cryptocurrencies such as Bitcoin [18] rely on the equivalence \com- putation = money." To generate a batch of coins, clients in a distributed cryp- tocurrency system perform an operation called mining. Mining requires solving a computationally intensive problem involving repeated cryptographic hashing. Such problem and its solution is called a Proof of Work (PoW) [11]. As currently designed, nearly all PoWs suffer from one of two drawbacks (or both, as in Bitcoin). -
Blocksci: Design and Applications of a Blockchain Analysis Platform
BlockSci: Design and applications of a blockchain analysis platform Harry Kalodner Steven Goldfeder Alishah Chator [email protected] [email protected] [email protected] Princeton University Princeton University Johns Hopkins University Malte Möser Arvind Narayanan [email protected] [email protected] Princeton University Princeton University ABSTRACT to partition eectively. In fact, we conjecture that the use of a tra- Analysis of blockchain data is useful for both scientic research ditional, distributed transactional database for blockchain analysis and commercial applications. We present BlockSci, an open-source has innite COST [5], in the sense that no level of parallelism can software platform for blockchain analysis. BlockSci is versatile in outperform an optimized single-threaded implementation. its support for dierent blockchains and analysis tasks. It incorpo- BlockSci comes with batteries included. First, it is not limited rates an in-memory, analytical (rather than transactional) database, to Bitcoin: a parsing step converts a variety of blockchains into making it several hundred times faster than existing tools. We a common, compact format. Currently supported blockchains in- describe BlockSci’s design and present four analyses that illustrate clude Bitcoin, Litecoin, Namecoin, and Zcash (Section 2.1). Smart its capabilities. contract platforms such as Ethereum are outside our scope. Second, This is a working paper that accompanies the rst public release BlockSci includes a library of useful analytic and visualization tools, of BlockSci, available at github.com/citp/BlockSci. We seek input such as identifying special transactions (e.g., CoinJoin) and linking from the community to further develop the software and explore addresses to each other based on well-known heuristics (Section other potential applications. -
Merged Mining: Curse Or Cure?
Merged Mining: Curse or Cure? Aljosha Judmayer, Alexei Zamyatin, Nicholas Stifter, Artemios Voyiatzis, Edgar Weippl SBA Research, Vienna, Austria (firstletterfirstname)(lastname)@sba-research.org Abstract: Merged mining refers to the concept of mining more than one cryp- tocurrency without necessitating additional proof-of-work effort. Although merged mining has been adopted by a number of cryptocurrencies already, to this date lit- tle is known about the effects and implications. We shed light on this topic area by performing a comprehensive analysis of merged mining in practice. As part of this analysis, we present a block attribution scheme for mining pools to assist in the evaluation of mining centralization. Our findings disclose that mining pools in merge-mined cryptocurrencies have operated at the edge of, and even beyond, the security guarantees offered by the underlying Nakamoto consensus for ex- tended periods. We discuss the implications and security considerations for these cryptocurrencies and the mining ecosystem as a whole, and link our findings to the intended effects of merged mining. 1 Introduction The topic of merged mining has received little attention from the scientific community, despite having been actively employed by a number of cryptocurrencies for several years. New and emerging cryptocurrencies such as Rootstock continue to consider and expand on the concept of merged mining in their designs to this day [19]. Merged min- ing refers to the process of searching for proof-of-work (PoW) solutions for multiple cryptocurrencies concurrently without requiring additional computational resources. The rationale behind merged mining lies in leveraging on the computational power of different cryptocurrencies by bundling their resources instead of having them stand in direct competition, and also to serve as a bootstrapping mechanism for small and fledgling networks [27, 33]. -
Alternative Mining Puzzles
Cryptocurrency Technologies Alternative Mining Puzzles Alternative Mining Puzzles • Essential Puzzle Requirements • ASIC-Resistant Puzzles • Proof-of-Useful-Work • Non-outsourceable Puzzles • Proof-of-Stake “Virtual Mining” Puzzles (recap) Incentive system steers participants Basic features of Bitcoin’s puzzle The puzzle is difficult to solve, so attacks are costly … but not too hard, so honest miners are compensated Q: What other features could a puzzle have? 1 Cryptocurrency Technologies Alternative Mining Puzzles On today’s menu . Alternative puzzle designs Used in practice, and speculative Variety of possible goals ASIC resistance, pool resistance, intrinsic benefits, etc. Essential security requirements Alternative Mining Puzzles • Essential Puzzle Requirements • ASIC-Resistant Puzzles • Proof-of-Useful-Work • Non-outsourceable Puzzles • Proof-of-Stake “Virtual Mining” 2 Cryptocurrency Technologies Alternative Mining Puzzles Puzzle Requirements A puzzle should ... – be cheap to verify – have adjustable difficulty – <other requirements> – have a chance of winning that is proportional to hashpower • Large player get only proportional advantage • Even small players get proportional compensation Bad Puzzle: a sequential Puzzle Consider a puzzle that takes N steps to solve a “Sequential” Proof of Work N Solution Found! 3 Cryptocurrency Technologies Alternative Mining Puzzles Bad Puzzle: a sequential Puzzle Problem: fastest miner always wins the race! Solution Found! Good Puzzle => Weighted Sample This property is sometimes called progress free. 4 Cryptocurrency Technologies Alternative Mining Puzzles Alternative Mining Puzzles • Essential Puzzle Requirements • ASIC-Resistant Puzzles • Proof-of-Useful-Work • Non-outsourceable Puzzles • Proof-of-Stake “Virtual Mining” ASIC Resistance – Why?! Goal: Ordinary people with idle laptops, PCs, or even mobile phones can mine! Lower barrier to entry! Approach: Reduce the gap between custom hardware and general purpose equipment. -
Decentralized Reputation Model and Trust Framework Blockchain and Smart Contracts
IT 18 062 Examensarbete 30 hp December 2018 Decentralized Reputation Model and Trust Framework Blockchain and Smart contracts Sujata Tamang Institutionen för informationsteknologi Department of Information Technology Abstract Decentralized Reputation Model and Trust Framework: Blockchain and Smart contracts Sujata Tamang Teknisk- naturvetenskaplig fakultet UTH-enheten Blockchain technology is being researched in diverse domains for its ability to provide distributed, decentralized and time-stamped Besöksadress: transactions. It is attributed to by its fault-tolerant and zero- Ångströmlaboratoriet Lägerhyddsvägen 1 downtime characteristics with methods to ensure records of immutable Hus 4, Plan 0 data such that its modification is computationally infeasible. Trust frameworks and reputation models of an online interaction system are Postadress: responsible for providing enough information (e.g., in the form of Box 536 751 21 Uppsala trust score) to infer the trustworthiness of interacting entities. The risk of failure or probability of success when interacting with an Telefon: entity relies on the information provided by the reputation system. 018 – 471 30 03 Thus, it is crucial to have an accurate, reliable and immutable trust Telefax: score assigned by the reputation system. The centralized nature of 018 – 471 30 00 current trust systems, however, leaves the valuable information as such prone to both external and internal attacks. This master's thesis Hemsida: project, therefore, studies the use of blockchain technology as an http://www.teknat.uu.se/student infrastructure for an online interaction system that can guarantee a reliable and immutable trust score. It proposes a system of smart contracts that specify the logic for interactions and models trust among pseudonymous identities of the system. -
Impossibility of Full Decentralization in Permissionless Blockchains
Impossibility of Full Decentralization in Permissionless Blockchains Yujin Kwon*, Jian Liuy, Minjeong Kim*, Dawn Songy, Yongdae Kim* *KAIST {dbwls8724,mjkim9394,yongdaek}@kaist.ac.kr yUC Berkeley [email protected],[email protected] ABSTRACT between achieving good decentralization in the consensus protocol Bitcoin uses the proof-of-work (PoW) mechanism where nodes earn and not relying on a TTP exists. rewards in return for the use of their computing resources. Although this incentive system has attracted many participants, power has, CCS CONCEPTS at the same time, been significantly biased towards a few nodes, • Security and privacy → Economics of security and privacy; called mining pools. In addition, poor decentralization appears not Distributed systems security; only in PoW-based coins but also in coins that adopt proof-of-stake (PoS) and delegated proof-of-stake (DPoS) mechanisms. KEYWORDS In this paper, we address the issue of centralization in the consen- Blockchain; Consensus Protocol; Decentralization sus protocol. To this end, we first define ¹m; ε; δº-decentralization as a state satisfying that 1) there are at least m participants running 1 INTRODUCTION a node, and 2) the ratio between the total resource power of nodes Traditional currencies have a centralized structure, and thus there run by the richest and the δ-th percentile participants is less than exist several problems such as a single point of failure and corrup- or equal to 1 + ε. Therefore, when m is sufficiently large, and ε and tion. For example, the global financial crisis in 2008 was aggravated δ are 0, ¹m; ε; δº-decentralization represents full decentralization, by the flawed policies of banks that eventually led to many bank which is an ideal state. -
TITLE PAGE Bitcoin and Stock Markets. Are They Connected? Evidence from Asean Emerging Economies Abdollah Ah Mand*1, Hassanudin
Bitcoin and Stock Markets: Are They Connected? Evidence from Asean Emerging Economies Abdollah Ah Mand ( [email protected] ) Sunway University Hassanudin Mohd Thas Thaker Sunway University Research Keywords: Cryptocurrencies, bitcoin, stock market, emerging economies Posted Date: May 12th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-25524/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License TITLE PAGE Bitcoin and Stock Markets. Are they Connected? Evidence from Asean Emerging Economies Abdollah Ah Mand*1, Hassanudin Mohd Thas Thaker2 Email of corresponding author: [email protected] 1,2 Sunway University, Malaysia Abstract Background: Cryptocurrencies, especially Bitcoin, has become popular for investors in recent years. The volatility of bitcoin and time horizon are the center point for investment decisions. However, attention is not often drawn to the relationship between bitcoin and equity indices. This study investigates the volatility and time frequency domain of bitcoin among five Asean countries through a rich database which covers daily data from July 2010 until April 2019. Methods: Advanced econometrics and Wavelets Cross-Coherence Spectrograms, this study investigates the existence of long run association between bitcoin and the studied market indices. M-GARCH analysis is been employed to investigate the unconditional volatility of market indices and Bitcoin. Results: The findings present the long run association with positive (Philippines) and negative (Japan, Korea, Singapore, Hong Kong) relations. Moreover, only one market (KOREA) shows a short run association with bitcoin. The M- GARCH analysis reveals, most of the selected Asean countries have a low unconditional volatility with bitcoin. -
A Technical Overview of Digital Credentials
A Technical Overview of Digital Credentials Dr. Stefan Brands Credentica [email protected] February 20, 2002 Abstract Applications that involve the electronic transfer of credentials, value tokens, profiles, and other sensitive information are quickly gaining momentum. Traditional attempts to introduce electronic authentication, such as PKI and biometric verification, expose organizations to po- tentially unlimited liability, lead to consumer fear, and stifle the adoption of new systems. To overcome these barriers, innovative solutions are needed that address the entire spectrum of security and privacy interests for all parties involved. This paper is a technical overview of Digital Credentials. Digital Credentials are the digital equivalent of paper documents, plastic tokens, and other tangible objects issued by trusted parties. At the same time, they are much more powerful than their physical counterparts. For example, individuals can selectively disclose properties of the data fields in their Digital Credentials while hiding any other information. Digital Credentials also provide much greater security. As a result, they can be used to securely implement objects that traditionally are made identifiable in order to deal with certain kinds of fraud. Examples are diplomas, work permits, access cards, and drivers’ licenses. 1 Introduction Around the world, influential organizations are rushing to provide individuals with digital identity certificates that will be the sole means of participating in their systems. Among the front-runners are telecommunication organizations, health care providers, mobile service providers, financial institutions, and state and federal governments. A digital identity certificate is just a sequence of zeros and ones, and so it can be transferred electronically and can be verified with 100 percent accuracy by computers. -
Blockchain-Based Address Alias System
Article Blockchain-Based Address Alias System Norbert Bodziony , Paweł Jemioło * , Krzysztof Kluza and Marek R. Ogiela AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, al. A. Mickiewicza 30, 30-059 Krakow, Poland; [email protected] (N.B.); [email protected] (K.K.); [email protected] (M.R.O.) * Correspondence: [email protected] Abstract: In recent years, blockchains systems have seen massive adoption in retail and enterprise environments. Cryptocurrencies become more widely adopted, and many online businesses have decided to add the most popular ones, like Bitcoin or Ethereum, next to Visa or Mastercard payments. Due to the decentralized nature of blockchain-based systems, there is no possible way to revert confirmed transactions. It may result in losses caused by human error or poor design of the user interface. We created a cryptocurrency wallet with a full on-chain solution for aliasing accounts and tokens to improve user experience and avoid unnecessary errors. The aliasing system consists of a number of smart contracts deployed on top of the blockchain network that give the ability to register aliases to accounts and tokens and use them instead of opaque addresses. Our solution shows how performant modern blockchains are and presents a way of building fully decentralized applications that can compete with centralized ones in terms of performance. Keywords: blockchain; cryptocurrency; wallet; aliasing system; Solana Citation: Bodziony, N.; Jemioło, P.; 1. Introduction Kluza, K.; Ogiela, M.R. Blockchain- Blockchain [1,2] space is one of the most rapidly growing ecosystems right now. -
Cryptocurrency and the Blockchain: Technical Overview and Potential Impact on Commercial Child Sexual Exploitation
Cryptocurrency and the BlockChain: Technical Overview and Potential Impact on Commercial Child Sexual Exploitation Prepared for the Financial Coalition Against Child Pornography (FCACP) and the International Centre for Missing & Exploited Children (ICMEC) by Eric Olson and Jonathan Tomek, May 2017 Foreword The International Centre for Missing & Exploited Children (ICMEC) advocates, trains and collaborates to eradicate child abduction, sexual abuse and exploitation around the globe. Collaboration – one of the pillars of our work – is uniquely demonstrated by the Financial Coalition Against Child Pornography (FCACP), which was launched in 2006 by ICMEC and the National Center for Missing & Exploited Children. The FCACP was created when it became evident that people were using their credit cards to buy images of children being sexually abused online. Working alongside law enforcement, the FCACP followed the money to disrupt the economics of the child pornography business, resulting in the virtual elimination of the use of credit cards in the United States for the purchase of child sexual abuse content online. And while that is a stunning accomplishment, ICMEC and the FCACP are mindful of the need to stay vigilant and continue to fight those who seek to profit from the sexual exploitation of children. It is with this in mind that we sought to research cryptocurrencies and the role they play in commercial sexual exploitation of children. This paper examines several cryptocurrencies, including Bitcoin, and the Blockchain architecture that supports them. It provides a summary of the underground and illicit uses of the currencies, as well as the ramifications for law enforcement and industry. ICMEC is extremely grateful to the authors of this paper – Eric Olson and Jonathan Tomek of LookingGlass Cyber Solutions.