XRP and Ripple
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Consensus: Immutable Agreement for the Internet of Value
Consensus Immutable agreement for the Internet of value kpmg.com Seizing opportunity – blockchain and beyond Contents ack in early 2009, the high-profile journey of the first About the authors Bitcoin overshadowed the ingenuity of its underlying The terms 1 Seizing opportunity – Blockchain and beyond Blockchain, distributed ledgers, Sigrid Seibold technology, the blockchain protocol. These days, however, B and consensus mechanisms are Principal, Advisory Capital 2 The basics behind blockchain blockchain is garnering its own share of headlines. Inspired by sometimes used interchangeably. Markets, KPMG LLP 3 Consensus the original blockchain protocol, a variety of new consensus For purposes of this paper, we use Sigrid looks back at 25 years mechanisms and new types of distributed ledger technologies the following definitions: of working in the banking 10 Key observations are continuing to emerge. As innovation accelerates, proponents and capital markets industry. 14 Is blockchain right for your organization Blockchain: A type of distributed She primarily focuses on are eagerly seeking solutions that may work within the current ledger database that maintains a the major investment banks, leveraging her areas of 15 Maneuvering the road ahead regulatory confines of financial services and other industries. continuously growing list of transaction specialization, such as data management and digital 17 Appendix 1: Key terminology records ordered into blocks with various technologies, including financial and blockchain. As a As a result, more and more financial services companies and venture capital (VC) firms protections against tampering and respected industry thought leader, she has published 19 Appendix 2: Consensus mechanism valuation are looking closely at blockchains and other distributed ledgers, and with good reason. -
Into the Reverie: Exploration of the Dream Market
Into the Reverie: Exploration of the Dream Market Theo Carr1, Jun Zhuang2, Dwight Sablan3, Emma LaRue4, Yubao Wu5, Mohammad Al Hasan2, and George Mohler2 1Department of Mathematics, Northeastern University, Boston, MA 2Department of Computer & Information Science, Indiana University - Purdue University, Indianapolis, IN 3Department of Mathematics and Computer Science, University of Guam, Guam 4Department of Mathematics and Statistics, University of Arkansas at Little Rock, AK 5Department of Computer Science, Georgia State University, Atlanta, GA [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] Abstract—Since the emergence of the Silk Road market in Onymous" in 2014, a worldwide action taken by law enforce- the early 2010s, dark web ‘cryptomarkets’ have proliferated and ment and judicial agencies aimed to put a kibosh on these offered people an online platform to buy and sell illicit drugs, illicit behaviors [5]. Law enforcement interventions such as relying on cryptocurrencies such as Bitcoin for anonymous trans- actions. However, recent studies have highlighted the potential for Onymous, along with exit scams and hacks, have successfully de-anonymization of bitcoin transactions, bringing into question shut down numerous cryptomarkets, including AlphaBay, Silk the level of anonymity afforded by cryptomarkets. We examine a Road, Dream, and more recently, Wall Street [6]. Despite these set of over 100,000 product reviews from several cryptomarkets interruptions, new markets have continued to proliferate. The collected in 2018 and 2019 and conduct a comprehensive analysis authors of [7] note that there appears to be a consistent daily of the markets, including an examination of the distribution of drug sales and revenue among vendors, and a comparison demand of about $500,000 for illicit products on the dark web, of incidences of opioid sales to overdose deaths in a US city. -
Read the Report Brief
A REVOLUTION IN TRUST Distributed Ledger Technology in Relief & Development MAY 2017 “The principal challenge associated with [DLT] is a lack of awareness of the technology, especially in sectors other than banking, and a lack of widespread understanding of how it works.” - Deloitte Executive Summary1 The Upside In 2016, the blockchain was recognized as one of the top 10 In a recent report, Accenture surveyed emerging technologies by the World Economic Forum.2 The cost data from eight of the world’s ten potential of the blockchain and distributed ledger technology largest investment banks, with the goal of putting a dollar figure against potential (hereinafter “DLT”) to deliver benefits is significant. Gartner cost savings that might be achieved with estimates that DLT will result in $176 billion in added business DLT. The report concluded that the value by 2025; that total reaches $3.1 trillion by 2030.3 banks analyzed could reduce infrastructure costs by an average $8 to Investment in the field reflects the widespread belief that the $12 billion a year. The survey mapped technology can deliver value. Numerous trials, and some more than 50 operational cost metrics deployments, can be found across multiple sectors. and found the savings would break down as follows: Over two dozen countries are investing in DLT 70% savings on central financial More than 2,500 patents have been filed in the last 3 reporting 4 30-50% savings on compliance years 50% savings on centralized operations As of Q4, 2016, 28 of the top 30 banks were engaged in 50% savings on business blockchain proofs-of-concept operations. -
Rethinking Correspondent Banking 3
Rethinking correspondent banking 3 Rethinking correspondent banking Correspondent banking—in which one financial institution carries out transactions on behalf of another, often because it has no local presence—has been used as the instrument for cross-border payments since the time of the Medicis. The intervening centuries have brought surprisingly little in the way of fundamental change, and banks still generate considerable value from cross- border payments. According to the 2015 McKinsey Global Payments Map, these transactions represent 20 percent of total transaction volumes in the payments industry, yet they generate 50 percent of its transaction-related revenues (Exhibit 1, page 4). Olivier Denecker What’s more, revenue margins in cross- growing as domestic retail payments un - bor der payments have remained healthy dergo rapid digitization. Florent Istace over time. As margins for domestic pay - • Regulatory compliance is driving up the Pavan K. Masanam ments were squeezed by regulation and cost of cross-border payments systems Marc Niederkorn competition in recent decades, banks were and forcing banks to review their corre - forced to pare back costs and improve the ef - spondent relations. ficiency of their systems and products. But cross-border payments have not yet experi - • Digital innovators are attracting cus - enced such pressures, so banks have had lit - tomers with new solutions and enhanced value propositions that threaten not only tle incentive to work on their back-end to cut banks out of their correspondent systems and processes or to develop innova - banking relationships but also to loosen tive customer offerings. banks’ ties with end customers, at least That is now changing. -
Mckinsey on Payments
Volume 8, Number 21 May 2015 McKinsey on Payments Foreword 1 Gauging the disruptive potential of digital wallets 3 While they have established a solid foundation for growth, digital wallets are by no means a guaranteed success. They must continue to evolve if they are to have a truly disruptive impact on the payments landscape. Providers can improve their chances by focusing on six “markers” for success in payments innovation. New partnership models in transaction banking 11 A number of trends are leading to a fundamental rethinking of the traditional model by which banks offer transaction banking services to clients outside their established markets. Four distinct partnership models offer the best opportunities for banks seeking to succeed in an evolving landscape. Toward an Internet of Value: An interview with Chris Larsen, 19 CEO of Ripple Labs McKinsey on Payments sits down with the co-founder of Ripple Labs to discuss the nuts and bolts of the Ripple protocol, the implications for the correspondent banking model, and the emergence of an “Internet of Value.” Faster payments: Building a business, not just an infrastructure 23 A faster payments infrastructure is not an end in itself, it is an opportunity for banks to deliver innovative products and services in both consumer and corporate payments. To monetize this opportunity, financial institutions should focus relentlessly on design, customer experience, accessibility and convenience. Toward an Internet of Value: An interview with Chris Larsen , CEO of Ripple Labs Chris Larsen is co-founder and chief executive officer of Ripple Labs, a soft - ware firm that developed and continues to support the open-source Ripple protocol. -
Data Capture and Analysis of Darknet Markets
Data Capture & Analysis of Darknet Markets Data Capture and Analysis of Darknet Markets Australian National University Cybercrime Observatory Matthew Ball, Roderic Broadhurst1, Alexander Niven, and Harshit Trivedi March 2019 Abstract Darknet markets have been studied to varying degrees of success for several years (since the original Silk Road was launched in 2011), but many obstacles are involved which prevent a complete and systematic survey. The Australian National University’s Cybercrime Observatory has developed tools to collect and analyse data captured from the darknet (illicit cryptomarkets). This report describes, at the high level, a method for collecting, and analysing, data from specific darknet marketplaces. Examples of typical results that may be obtained from darknet markets and current limitations to the automation of data capture are breifly outlined. While the proposed solution is not error-free, it is a significant step in the direction of providing a comprehensive solution tailored for data scientists, social scientists, and anyone interested in analysing trends from darknet markets. 1 Corresponding author: Professor R.G. Broadhurst, School of Regulation and Global Givernance, College of Asia and the Pacific, email; [email protected]>. We thank the Australian Federal Police division of the Australian Cyber Security Centre, the Australian Institute of Criminology, and ANU Cybercrime Observatory interns Nikita Bhatia, Paige Brown and Benjamin Donald-Wilson for their assistance with aspects of this report. 1 Introduction Illicit cryptomarkets (or darknet markets) are e-commerce style websites specializing in the sale and distribution of illicit content. Typical products offered on darknet markets include: drugs, pharmaceuticals, identity documents, malware and exploit kits, counterfeit goods, weapons, and other contraband. -
Analyzing the Darknetmarkets Subreddit for Evolutions of Tools and Trends Using LDA Topic Modeling
DIGITAL FORENSIC RESEARCH CONFERENCE Analyzing the DarkNetMarkets Subreddit for Evolutions of Tools and Trends Using LDA Topic Modeling By Kyle Porter From the proceedings of The Digital Forensic Research Conference DFRWS 2018 USA Providence, RI (July 15th - 18th) DFRWS is dedicated to the sharing of knowledge and ideas about digital forensics research. Ever since it organized the first open workshop devoted to digital forensics in 2001, DFRWS continues to bring academics and practitioners together in an informal environment. As a non-profit, volunteer organization, DFRWS sponsors technical working groups, annual conferences and forensic challenges to help drive the direction of research and development. https:/dfrws.org Digital Investigation 26 (2018) S87eS97 Contents lists available at ScienceDirect Digital Investigation journal homepage: www.elsevier.com/locate/diin DFRWS 2018 USA d Proceedings of the Eighteenth Annual DFRWS USA Analyzing the DarkNetMarkets subreddit for evolutions of tools and trends using LDA topic modeling Kyle Porter Department of Information Security and Communication Technology, NTNU, Gjøvik, Norway abstract Keywords: Darknet markets, which can be considered as online black markets, in general sell illegal items such as Topic modeling drugs, firearms, and malware. In July 2017, significant law enforcement operations compromised or Latent dirichlet allocation completely took down multiple international darknet markets. To quickly understand how this affected Web crawling the markets and the choice of tools utilized by users of darknet markets, we use unsupervised topic Datamining Semantic analysis modeling techniques on the DarkNetMarkets subreddit in order to determine prominent topics and Digital forensics terms, and how they have changed over a year's time. -
Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed Through Cryptocurrencies? *
Sex, drugs, and bitcoin: How much illegal activity is financed through cryptocurrencies? * Sean Foley a, Jonathan R. Karlsen b, Tālis J. Putniņš b, c a University of Sydney b University of Technology Sydney c Stockholm School of Economics in Riga January, 2018 Abstract Cryptocurrencies are among the largest unregulated markets in the world. We find that approximately one-quarter of bitcoin users and one-half of bitcoin transactions are associated with illegal activity. Around $72 billion of illegal activity per year involves bitcoin, which is close to the scale of the US and European markets for illegal drugs. The illegal share of bitcoin activity declines with mainstream interest in bitcoin and with the emergence of more opaque cryptocurrencies. The techniques developed in this paper have applications in cryptocurrency surveillance. Our findings suggest that cryptocurrencies are transforming the way black markets operate by enabling “black e-commerce”. JEL classification: G18, O31, O32, O33 Keywords: blockchain, bitcoin, detection controlled estimation, illegal trade * We thank an anonymous referee, Andrew Karolyi, Maureen O’Hara, Paolo Tasca, Michael Weber, as well as the conference/seminar participants of the RFS FinTech Workshop of Registered Reports, the Behavioral Finance and Capital Markets Conference, the UBS Equity Markets Conference, and the University of Technology Sydney. Jonathan Karlsen acknowledges financial support from the Capital Markets Co-operative Research Centre. Tālis Putniņš acknowledges financial support from the Australian Research Council (ARC) under grant number DE150101889. The Online Appendix that accompanies this paper can be found at goo.gl/GvsERL Send correspondence to Tālis Putniņš, UTS Business School, University of Technology Sydney, PO Box 123 Broadway, NSW 2007, Australia; telephone: +61 2 95143088. -
Evolution Or Revolution? Distributed Ledger Technologies in Financial Services
Evolution or revolution? Distributed ledger technologies in financial services Anil Savio Kavuri1 and Alistair Milne2 (There are two versions of this paper: a short summary report of 16 pages plus references; the full research report of 121 pages plus references.) 1 Loughborough University and Australian National University. [email protected] 2 Loughborough University. [email protected] Evolution or revolution? Distributed ledger technologies in financial services Contents of full report 1 Introduction to the full report ............................................................................................... 2 2 Distributed ledgers: basic concepts and supporting technologies. ...................................... 5 2.1 Definitions ....................................................................................................................... 5 2.2 The component technologies used in distributed ledgers ............................................. 7 2.3 How the technologies are combined: the database ‘stack’ ........................................... 8 3 Applications of distributed ledgers in financial services ..................................................... 11 3.1 Fourteen areas of application....................................................................................... 11 3.2 Seven case studies ........................................................................................................ 38 4 Distributed ledgers: the adoption decision ........................................................................ -
The Lightning Network - Deconstructed and Evaluated
The Lightning Network - Deconstructed and Evaluated Anti-Money Laundering (AML) and Anti-Terrorist Financing (ATF) professionals, especially those working in the blockchain and cryptocurrency environment, may have heard of the second layer evolution of Bitcoin's blockchain - the Lightning Network, (LN). This exciting new and rapidly deploying technology offers innovative solutions to solve issues around the speed of transaction times using bitcoin currently, but expandable to other tokens. Potentially however, this technology raises regulatory concerns as it arguably makes, (based on current technical limitations), bitcoin transactions truly anonymous and untraceable, as opposed to its current status, where every single bitcoin can be traced all the way back to its coinbase transaction1 on the public blockchain. This article will break down the Lightning Network - analyzing how it works and how it compares to Bitcoin’s current system, the need for the technology, its money laundering (ML) and terrorist financing (TF) risks, and some thoughts on potential regulatory applications. Refresher on Blockchain Before diving into the Lightning Network, a brief refresher on how the blockchain works - specifically the Bitcoin blockchain (referred to as just “Bitcoin” with a capital “B” herein) - is required. For readers with no knowledge or those wishing to learn more about Bitcoin, Mastering Bitcoin by Andreas Antonopoulos2 is a must read, and for those wishing to make their knowledge official, the Cryptocurrency Certification Consortium, (C4) offers the Certified Bitcoin Professional (CBP) designation.3 Put simply, the blockchain is a growing list of records that can be visualized as a series of blocks linked by chains. Each block contains specific information - in Bitcoin’s case, a list of transactions and their data, which includes the time, date, amount, and the counterparties4 of each transaction. -
Financial Technology
Transformational Strains of Digital Money Journal Ignacio Mas APEX 2016 AWARD WINNER FINANCIAL TECHNOLOGY Download the full version of The Journal available at CAPCO.COM/INSTITUTE #44 11.2016 EMPOWERING THE [FINANCIAL] WORLD Pushing the pace of Financial Technology, together we’ll help our clients solve technology challenges for their business – whether it’s capital markets in Mumbai or community banking in Macon. We leverage knowledge and insights from our clients around the world: clients in towns everywhere are becoming 20,000 more efficient, modern and scalable. transactions processed help solve clients’ 27 billion challenges — big and small. moved across the globe in a single year $9 trillion empowers our clients’ communities to build storefronts, homes and careers. hearts and minds have joined forces to 55,000 bring you greater capabilities in even the smallest places. Empowering the Financial World FISGLOBAL.COM © 2016 FIS and/or its subsidiaries. All Rights Reserved. The Capco Institute Journal of Financial Transformation Recipient of the Apex Award for Publication Excellence Editor Shahin Shojai, Global Head, Capco Institute Advisory Board Christine Ciriani, Partner, Capco Chris Geldard, Partner, Capco Nick Jackson, Partner, Capco Editorial Board Franklin Allen, Nippon Life Professor of Finance, University of Pennsylvania Joe Anastasio, Partner, Capco Philippe d’Arvisenet, Adviser and former Group Chief Economist, BNP Paribas Rudi Bogni, former Chief Executive Officer, UBS Private Banking Bruno Bonati, Chairman of the Non-Executive Board, Zuger Kantonalbank Dan Breznitz, Munk Chair of Innovation Studies, University of Toronto Urs Birchler, Professor Emeritus of Banking, University of Zurich Géry Daeninck, former CEO, Robeco Stephen C. Daffron, CEO, Interactive Data Jean Dermine, Professor of Banking and Finance, INSEAD Douglas W. -
Virtual Currencies and Money Laundering: Legal Background, Enforcement Actions, and Legislative Proposals
Virtual Currencies and Money Laundering: Legal Background, Enforcement Actions, and Legislative Proposals April 3, 2019 Congressional Research Service https://crsreports.congress.gov R45664 SUMMARY R45664 Virtual Currencies and Money Laundering: April 3, 2019 Legal Background, Enforcement Actions, and Jay B. Sykes Legislative Proposals Legislative Attorney Law enforcement officials have described money laundering—the process of making illegally Nicole Vanatko obtained proceeds appear legitimate—as the “lifeblood” of organized crime. Recently, money Legislative Attorney launderers have increasingly turned to a new technology to conceal the origins of illegally obtained proceeds: virtual currency. Virtual currencies like Bitcoin, Ether, and Ripple are digital representations of value that, like ordinary currency, function as media of exchange, units of account, and stores of value. However, unlike ordinary currencies, virtual currencies are not legal tender, meaning they cannot be used to pay taxes and creditors need not accept them as payments for debt. While virtual currency enthusiasts tout their technological promise, a number of commentators have contended that the anonymity offered by these new financial instruments makes them an attractive vehicle for money laundering. Law enforcement officials, regulators, and courts have accordingly grappled with how virtual currencies fit into a federal anti-money laundering (AML) regime designed principally for traditional financial institutions. The federal AML regime consists of two general categories of laws and regulations. First, federal law requires a range of “financial institutions” to abide by a variety of AML program, reporting, and recordkeeping requirements. Second, federal law criminalizes money laundering and various forms of related conduct. Over the past decade, federal prosecutors and regulators have pursued a number of cases involving the application of these laws to virtual currencies.