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This book shows how blockchain technology can transform the Internet, connecting global businesses in disruptive ways. It offers a comprehensive and multi-faceted examination of the potential of distributed ledger technology (DLT) from a new perspective: as an enabler of the Internet of Value (IoV). The authors discuss applications of blockchain technology to the financial services domain, e.g. in real estate, insurance and the emerging Decentralised Finance (DeFi) movement. They also cover applications to the media and e-commerce domains. DLTs impacts on the circular economy, marketplace, Internet of Things (IoT) and oracle business models are also investigated. In closing, the book provides outlooks on the evolution of DLT, as well as the systemic governance and privacy risks of the IoV. The book is intended for a broad readership, including students, researchers and industry practitioners.

Systemic risk, here meant as the risk of default of a large portion of the financial system, depends on the network of financial exposures among institutions. However, there is no widely accepted methodology to determine the systemically important nodes in a network. To fill this gap, we introduce, DebtRank, a novel measure of systemic impact inspired by feedback-centrality. As an application, we analyse a new and unique dataset on the USD 1.2 trillion FED emergency loans program to global financial institutions during 2008–2010. We find that a group of 22 institutions, which received most of the funds, form a strongly connected graph where each of the nodes becomes systemically important at the peak of the crisis. Moreover, a systemic default could have been triggered even by small dispersed shocks. The results suggest that the debate on too-big-to-fail institutions should include the even more serious issue of too-central-to-fail.

In recent years, electronic retail payment mechanisms, especially e-commerce and card payments at the point of sale, have increasingly replaced cash in many developed countries. As a result, societies are losing a critical public retail payment option, and retail consumers are losing important rights associated with using cash. To address this concern, we propose an approach to digital currency that would allow people without banking relationships to transact electronically and privately, including both e-commerce purchases and point-of-sale purchases that are required to be cashless. Our proposal introduces a government-backed, privately-operated digital currency infrastructure to ensure that every transaction is registered by a bank or money services business, and it relies upon non-custodial wallets backed by privacy-enhancing technology, such as blind signatures or zero-knowledge proofs, to ensure that transaction counterparties are not revealed. Our approach to digital currency can also facilitate more efficient and transparent clearing, settlement, and management of systemic risk. We argue that our system can restore and preserve the salient features of cash, including privacy, owner-custodianship, fungibility, and accessibility, while also preserving fractional reserve banking and the existing two-tiered banking system. We also show that it is possible to introduce regulation of digital currency transactions involving non-custodial wallets that unconditionally protect the privacy of end-users.

Blockchain wallets are essential interfaces for managing digital assets and authorising transactions within blockchain systems. However, typical blockchain wallets often encounter performance, privacy and cost issues when utilising multi-signature schemes and face security vulnerabilities with single-signature methods. Additionally, while granting users complete control, non-custodial wallets introduce technical complexities and security risks. While custodial wallets can mitigate some of these challenges, they are primary targets for attacks due to the pooling of customer funds. To address these limitations, we propose a chain-agnostic Multi-Party Computation Threshold Signature Scheme (MPC-TSS) shared-custodial wallet with securely distributed key management and recovery. We apply this solution to create a wallet design for wealth managers and their clients, consolidating the management and access of multiple cryptocurrency tokens and services into a single application interface.

Purpose This paper aims to gather together the minimum units of users’ identity in the Bitcoin network (i.e. the individual Bitcoin addresses) and group them into representations of business entities, what we call “super clusters”. While these clusters can remain largely anonymous, the authors are able to ascribe many of them to particular business categories by analyzing some of their specific transaction patterns (TPs), as observed during the period from 2009 to 2015. The authors are then able to extract and create a map of the network of payment relationships among them, and analyze transaction behavior found in each business category. They conclude by identifying three marked regimes that have evolved as the Bitcoin economy has grown and matured: from an early prototype stage; to a second growth stage populated in large part with “sin” enterprise (i.e. gambling, black markets); to a third stage marked by a sharp progression away from “sin” and toward legitimate enterprises. Design/methodology/approach Data mining. Findings Four primary business categories are identified in the Bitcoin economy: miners, gambling services, black markets and exchanges. Common patterns of transaction behavior between the business categories and their users are a “one-day” holding period for bitcoin transactions is somewhat typical. That is, a one-day effect where traders, gamblers, black market participants and miners tend to cash out on a daily basis. There seems to be a strong preference to do business within the bitcoin economy in round lot amounts, whether it is more typical of traders exchanging for fiat money, gamblers placing bets or black market goods being bought and sold. Distinct patterns of transaction behavior among the business categories and their users are flows between traders and exchanges average just around 20 BTC, and traders buy or sell on average every 11 days. Meanwhile, gamblers wager just 0.5 BTC on average, but re-bet often within the same day. Three marked regimes have evolved, as the Bitcoin economy has grown and matured: from an early prototype stage, to a second growth stage populated in large part with “sin” enterprises (i.e. gambling, black markets), to a third stage marked by a sharp progression away from “sin” and toward legitimate enterprises. This evolution of the Bitcoin economy suggests a trend toward legitimate commerce. Originality/value The authors propose a new theoretical framework that allows investigating and exploring the network of payment relationships in the Bitcoin economy. This study starts by gathering together the minimum units of Bitcoin identities (the individual addresses), and it goes forward in grouping them into approximations of business entities, what is called “super clusters”, by using tested techniques from the literature. A super cluster can be thought of as an approximation of a business entity in that it describes a number of individual addresses that are owned or controlled collectively by the same beneficial owner for some special economic purposes. The majority of these important clusters are initially unknown and uncategorized. The novelty of this study is given by the pure user group and the TP analyses, by means of which the authors are able to ascribe the super clusters into specific business categories and outline a map of the network of payment relationships among them.

By monitoring the movement of the body’s centre of mass during daily-living activities, it is possible to gather information on an individual’s functional capacity and quantify key abilities such as lower limb strength, postural control and dynamic stability. To this end, a wearable inertial measurement unit attached to the lower back can offer a practical solution for analysing CoM movement in real-world conditions. However, accelerometer-based measurements are prone to drift, limiting their suitability for long-term monitoring. To mitigate these effects, miniaturized high-resolution barometers can be integrated to provide stable direct height measurements. In this study, we developed and validated a method for the reconstruction of the vertical displacement of the centre of mass during daily activities (Transition-Based Complementary Filter). The method consisted of two steps: first, the transition intervals within which vertical displacements of the centre of mass occur are identified, then, within these intervals, the complementary filter is applied to estimate the vertical displacement. Validation was carried out on twenty healthy subjects wearing an inertial unit and a barometer on the lower back, while a marker-based stereophotogrammetry system served as reference. Participants performed a series of motor tasks replicating typical home-based activities, including standing, sitting, lying, squatting, and stair climbing. The method demonstrated high accuracy, achieving a median root mean square error of 0.02 m and a median concordance correlation coefficient of 98 %. These findings underscore its robustness and clinical utility, paving the way for improved rehabilitation strategies and enhanced patient outcomes.

The authors identify three regimes over the lifespan of the Bitcoin economy: the \"proof-of-concept\" stage, dominated by small test transactions and mining with limited economic activities; the second \"sin\" stage, consisting mainly of \"sin\" enterprise (i.e. gambling service and black market); and the third \"maturation\" stage, controlled by legitimate merchants and a proliferation of exchange activity. The article \"An innovative RegTech approach to financial risk monitoring and supervisory reporting\" tries to understand the use of smart contracts as a tool to improve monitoring and supervision in financial markets. Because of little interest and limited technical capability to share their internally generated risk data, financial institutions lack interoperable risk data, and this situation aggravates the rising levels of systemic risk. [...]the article \"Case Study of Lykke Exchange: architecture and outlook\" goes further by exploring how exchanges will evolve over time thanks to the use of blockchain.