A Banking Blight Crypto-Currency
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Realizing the Potential of Blockchain Technologies in Genomics
Downloaded from genome.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press Perspective Realizing the potential of blockchain technologies in genomics Halil Ibrahim Ozercan,1 Atalay Mert Ileri,2 Erman Ayday,1 and Can Alkan1 1Department of Computer Engineering, Bilkent University, Ankara 06800, Turkey; 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA Genomics data introduce a substantial computational burden as well as data privacy and ownership issues. Data sets generated by high-throughput sequencing platforms require immense amounts of computational resources to align to reference ge- nomes and to call and annotate genomic variants. This problem is even more pronounced if reanalysis is needed for new ver- sions of reference genomes, which may impose high loads to existing computational infrastructures. Additionally, after the compute-intensive analyses are completed, the results are either kept in centralized repositories with access control, or dis- tributed among stakeholders using standard file transfer protocols. This imposes two main problems: (1) Centralized servers become gatekeepers of the data, essentially acting as an unnecessary mediator between the actual data owners and data users; and (2) servers may create single points of failure both in terms of service availability and data privacy. Therefore, there is a need for secure and decentralized platforms for data distribution with user-level data governance. A new technology, block- chain, may help ameliorate some of these problems. In broad terms, the blockchain technology enables decentralized, im- mutable, incorruptible public ledgers. In this Perspective, we aim to introduce current developments toward using blockchain to address several problems in omics, and to provide an outlook of possible future implications of the blockchain technology to life sciences. -
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. -
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. -
Het Juridisch Statuut Van Virtuele Munteenheden
KU LEUVEN FACULTEIT RECHTSGELEERDHEID Academiejaar 2014 - 2015 Het juridisch statuut van virtuele munteenheden Bitcoin’s pragmatic legal vacuum Promotor : Prof. Dr. M.E. Storme Masterscriptie, ingediend door Begeleider: Drs. F. Helsen Cedric Hauben bij het eindexamen voor de graad van MASTER IN DE RECHTEN “There are few things more fascinating in our jurisprudence than the organization of what comes, almost immediately, to be perceived as a new field of law” - Grant GILMORE, 1974 Sterling professor of Law, Yale Univesity 2 Inhoudstafel Inhoudstafel ...................................................................................................................................... 3 Samenvatting .................................................................................................................................... 7 Dankwoord ........................................................................................................................................ 8 Inleiding ............................................................................................................................................. 9 Hoofdstuk 1: Situering ............................................................................................................... 11 §1.1. Wat is geld? ...................................................................................................................... 11 1.1.1. Definitie ........................................................................................................................................ -
Vulnerability of Blockchain Technologies to Quantum Attacks
Vulnerability of Blockchain Technologies to Quantum Attacks Joseph J. Kearneya, Carlos A. Perez-Delgado a,∗ aSchool of Computing, University of Kent, Canterbury, Kent CT2 7NF United Kingdom Abstract Quantum computation represents a threat to many cryptographic protocols in operation today. It has been estimated that by 2035, there will exist a quantum computer capable of breaking the vital cryptographic scheme RSA2048. Blockchain technologies rely on cryptographic protocols for many of their essential sub- routines. Some of these protocols, but not all, are open to quantum attacks. Here we analyze the major blockchain-based cryptocurrencies deployed today—including Bitcoin, Ethereum, Litecoin and ZCash, and determine their risk exposure to quantum attacks. We finish with a comparative analysis of the studied cryptocurrencies and their underlying blockchain technologies and their relative levels of vulnerability to quantum attacks. Introduction exist to allow the legitimate owner to recover this account. Blockchain systems are unlike other cryptosys- tems in that they are not just meant to protect an By contrast, in a blockchain system, there is no information asset. A blockchain is a ledger, and as central authority to manage users’ access keys. The such it is the asset. owner of a resource is by definition the one hold- A blockchain is secured through the use of cryp- ing the private encryption keys. There are no of- tographic techniques. Notably, asymmetric encryp- fline backups. The blockchain, an always online tion schemes such as RSA or Elliptic Curve (EC) cryptographic system, is considered the resource— cryptography are used to generate private/public or at least the authoritative description of it. -
Printpdf/Libra-3
LIBRA drishtiias.com/printpdf/libra-3 Why in News? Facebook has announced the launch of a cryptocurrency called Libra by 2020. While this signals facebook’s plans to expand into the global digital currency market, it has also raised privacy concerns. Digi Currency: Facebook’s cryptocurrency Libra will allow smartphone users to buy services digitally from their phone. Digital Wallet: Libra will be stored in a digital wallet called Calibra. Calibra is a standalone app on a user's smartphone or housed within Facebook-owned services such as WhatsApp and Messenger. How can users buy Libra? Users will need to sign up for an account using a government-issued ID to use Calibra wallet. Users will then be able to convert their money into Libra and add it to their digital wallet. Once in place, the currency can be used to pay for everyday transactions. 1/5 Libra Association: The cryptocurrency will be run by the Libra Association, a Geneva-based entity that has founding partners, including Facebook, Mastercard, Visa, Uber, and the Vodafone group. Libra Reserve: Libra will be backed by a reserve of assets in the form of securities (bank deposits and short-term government securities) and fiat currencies (like dollar, pound) to give it an intrinsic value and ensure stability. Anyone with Libra will have an assurance that they can convert their digital currency into local fiat currency based on an exchange rate. Libra Blockchain: Every Libra payment is permanently written into the Libra blockchain which is a cryptographically authenticated database and acts as a public online ledger designed to handle 1,000 transactions per second. -
Using Blockchain Technology to Secure the Internet of Things
Using Blockchain Technology to Secure the Internet of Things Presented by the Blockchain/ Distributed Ledger Working Group © 2018 Cloud Security Alliance – All Rights Reserved. You may download, store, display on your computer, view, print, and link to Using Blockchain Technology to Secure the Internet of Things subject to the following: (a) the Document may be used solely for your personal, informational, non- commercial use; (b) the Report may not be modified or altered in any way; (c) the Document may not be redistributed; and (d) the trademark, copyright or other notices may not be removed. You may quote portions of the Document as permitted by the Fair Use provisions of the United States Copyright Act, provided that you attribute the portions to the Using Blockchain Technology to Secure the Internet of Things paper. Blockchain/Distributed Ledger Technology Working Group | Using Blockchain Technology to Secure the Internet of Things 2 © Copyright 2018, Cloud Security Alliance. All rights reserved. ABOUT CSA The Cloud Security Alliance is a not-for-profit organization with a mission to promote the use of best practices for providing security assurance within Cloud Computing, and to provide education on the uses of Cloud Computing to help secure all other forms of computing. The Cloud Security Alliance is led by a broad coalition of industry practitioners, corporations, associations and other key stakeholders. For further information, visit us at www.cloudsecurityalliance.org and follow us on Twitter @cloudsa. Blockchain/Distributed Ledger Technology Working Group | Using Blockchain Technology to Secure the Internet of Things 3 © Copyright 2018, Cloud Security Alliance. All rights reserved. -
A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets
Journal of Risk and Financial Management Review A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets Nikolaos A. Kyriazis Department of Economics, University of Thessaly, 38333 Volos, Greece; [email protected] Abstract: This study is an integrated survey of GARCH methodologies applications on 67 empirical papers that focus on cryptocurrencies. More sophisticated GARCH models are found to better explain the fluctuations in the volatility of cryptocurrencies. The main characteristics and the optimal approaches for modeling returns and volatility of cryptocurrencies are under scrutiny. Moreover, emphasis is placed on interconnectedness and hedging and/or diversifying abilities, measurement of profit-making and risk, efficiency and herding behavior. This leads to fruitful results and sheds light on a broad spectrum of aspects. In-depth analysis is provided of the speculative character of digital currencies and the possibility of improvement of the risk–return trade-off in investors’ portfolios. Overall, it is found that the inclusion of Bitcoin in portfolios with conventional assets could significantly improve the risk–return trade-off of investors’ decisions. Results on whether Bitcoin resembles gold are split. The same is true about whether Bitcoins volatility presents larger reactions to positive or negative shocks. Cryptocurrency markets are found not to be efficient. This study provides a roadmap for researchers and investors as well as authorities. Keywords: decentralized cryptocurrency; Bitcoin; survey; volatility modelling Citation: Kyriazis, Nikolaos A. 2021. A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets. Journal of Risk and 1. Introduction Financial Management 14: 293. The continuing evolution of cryptocurrency markets and exchanges during the last few https://doi.org/10.3390/jrfm years has aroused sparkling interest amid academic researchers, monetary policymakers, 14070293 regulators, investors and the financial press. -
Ethereum Classic Price Prediction 2030
1 Ethereum Classic Price Prediction 2030 Update [06-08-2021] There are various cryptocurrencies out now in the bitcoin market, and people worldwide and mostly in the countries like United States , are investing in these digital currencies. 00000001 Ethereum max 7d low Emax 7d high- 0. And this particular blockchain allows to grants investors security and also control for all of their digital assets. Firstly, we have to be sure about the amount of ETH in our wallet to cover our transaction fees. Once OKExChain supports EVM, developers can use the development tools and languages of Ethereum to develop smart contracts on OKExChain. The contract launched the Beacon Chain, the first stage in the ETH 2. Most are confident that Ethereum 2. Ethereum s Growing Transaction Fees Shouldn t Stop Users. Is Cardano or Ethereum a Better Investment. It was developed in 2017 by Charles Hoskinson, who was previously involved in creating Ethereum itself. In other words, we have defined proof, in the per-coin values of both Bitcoin and Ethereum, that increases of 500 , 1,000 and more are not unprecedented or wildly unreasonable in this market , especially for coins that started out at a few cents. And this has given the latter a significant advantage over the former. At the same time, it is also going to take many other alts with it to new highs. A 10k price is definitely on the cards with so many Decentralized finance apps shifting to their protocols. If Ethereum could hit 10k by the end of 2021 then it would cross the 1 trillion market cap and might become the 2nd cryptocurrency to do so. -
Exploring the Interconnectedness of Cryptocurrencies Using Correlation Networks
Exploring the Interconnectedness of Cryptocurrencies using Correlation Networks Andrew Burnie UCL Computer Science Doctoral Student at The Alan Turing Institute [email protected] Conference Paper presented at The Cryptocurrency Research Conference 2018, 24 May 2018, Anglia Ruskin University Lord Ashcroft International Business School Centre for Financial Research, Cambridge, UK. Abstract Correlation networks were used to detect characteristics which, although fixed over time, have an important influence on the evolution of prices over time. Potentially important features were identified using the websites and whitepapers of cryptocurrencies with the largest userbases. These were assessed using two datasets to enhance robustness: one with fourteen cryptocurrencies beginning from 9 November 2017, and a subset with nine cryptocurrencies starting 9 September 2016, both ending 6 March 2018. Separately analysing the subset of cryptocurrencies raised the number of data points from 115 to 537, and improved robustness to changes in relationships over time. Excluding USD Tether, the results showed a positive association between different cryptocurrencies that was statistically significant. Robust, strong positive associations were observed for six cryptocurrencies where one was a fork of the other; Bitcoin / Bitcoin Cash was an exception. There was evidence for the existence of a group of cryptocurrencies particularly associated with Cardano, and a separate group correlated with Ethereum. The data was not consistent with a token’s functionality or creation mechanism being the dominant determinants of the evolution of prices over time but did suggest that factors other than speculation contributed to the price. Keywords: Correlation Networks; Interconnectedness; Contagion; Speculation 1 1. Introduction The year 2017 saw the start of a rapid diversification in cryptocurrencies. -
AB 129 Page 1
AB 129 Page 1 Date of Hearing: January 21, 2014 ASSEMBLY COMMITTEE ON BANKING AND FINANCE Roger Dickinson, Chair AB 129 (Dickinson) – As Amended: January 7, 2014 SUBJECT: Lawful money: Alternative currency. SUMMARY: Specifies that current law which bans the issuance or circulation of anything but lawful money of the United States does not prohibit the issuance and use of alternative currency. EXISTING STATE LAW provides under Corporations Code section 107 that no corporation, flexible purpose corporation, association, or individual shall not issue or put in circulation, as money, anything but the lawful money of the United States. EXISTING FEDERAL LAW provides that manufacturing counterfeit United States currency or altering genuine currency to increase its value is a violation of Title 18, Section 471 of the United States Code (U.S.C.) and is punishable by a fine of up to $5,000, or 15 years imprisonment, or both. Possession of counterfeit United States obligations with fraudulent intent is a violation of Title 18, Section 472 of the U.S.C. and is punishable by a fine of up to $15,000, or 15 years imprisonment, or both. Anyone who manufactures a counterfeit U.S. coin in any denomination above five cents is subject to the same penalties as all other counterfeiters. Anyone who alters a genuine coin to increase its numismatic value is in violation of Title 18, Section 331 of the U.S.C., which is punishable by a fine of up to $2,000, or imprisonment for up to 5 years, or both. Forging, altering, or trafficking United States Government checks, bonds, or other obligations is a violation of Title 18, Section 510 of the U.S.C. -
Anomaly Detection in Ethereum Transactions Using Network Science Analytics
Anomaly Detection in Ethereum Transactions Using Network Science Analytics A thesis submitted to the Graduate School of the University of Cincinnati in partial fulfillment of the requirements for the degree of Master of Information Technology in the School of Information Technology of the College of Education, Criminal Justice and Human Services. by Yusuf Lanre Lawal B.Sc University of Lagos April 2014 Committee Chair: Bilal Gonen, Ph.D. Abstract Since the introduction of Bitcoin, the rate of adoption of blockchain technology has exponentially increased. Consequently, numerous other types of cryptocurrencies, such as Ethereum, have been introduced. The high rate of adoption of cryptocurrencies has resulted in the generation of enor- mous amounts of data. In this paper, we focus on detecting anomaly or outliner in the daily Ethereum network using network properties. We were able to use the network properties and data mining in getting the required results. Wallets or accounts acting on the blockchain are repre- sented as nodes, while interactions between wallets or accounts are represented as links or edges. Based on the explanation, we were able to discover how the network properties have an impact on transaction behavior within the network. we propose how this analysis would be useful in real-life events. Acknowledgements I would like to thank my Supervisor, Dr. Bilal Gonen, for his support and Dr. Ki Jung Lee for their guidance during this project. I would also like to send a warm thank you to Lauren Kirgis (Graduate Coordinator). I would send a big shout out to Adedapo Alabi who showed me support from day one and to my other friends who support me even though it can be annoying sometimes.