Payment systems in Latin America : a tale of two countries - Colombia and El Salvador

Payment systems include all the paper (including cash) and electronic systems a country uses to exchange financial value to discharge obligations. Financial markets rely on promptness and certainty of payment and settlement for borrowing and investing. Consumers want convenience, choice (of payment options), privacy, and low cost. Inefficiencies in payment systems cause a drag on the national economy. The authors compare trends and areas for improvement in payment systems in Colombia and El Salvador, two countries that differ in size, volume of check-based transactions, and national issues. Check standards have developed slowly in both countries, which has retarded automation, particularly in Colombia, where the volume of checks handled makes manual processing unmanageable. Both countries need stronger leadership from central banks and bankers associations; incentives to adopt common check standards; streamlined check sorting and encoding, microfilming, and manual data processing; alternative (especially credit-based) payment mechanisms and private check-processing bureaus; and settlement of stock exchange transactions through several banks, rather than one bank. The countries differ in important ways: 1) it will be easier to reach economies of scale in check processing in Colombia (which has too many local clearinghouses) than in El Salvador (which has too few). Both countries need a more balanced approach; 2) same day payments are possible in Colombia; payments in El Salvador are next day, at best; 3) financial markets are less mature in El Salvador and may not need to be as sophisticated as markets in other countries; and 4) Colombia has yet to create effective disincentives for writing checks against insufficient funds. Both countries must take certain actions to develop a system for electronic payment and the settlement of payments at the central bank: 1) draft new laws and regulations; 2) provide more systematic data collection and analysis of payment flows; 3) undertake more risk analysis and prevention in the central banks and supervisory agencies, and draft contingency plans for major failures; 4) reexamine the dual roles of the central banks and other government agencies in operating and supervising payment systems; 5) review check-clearing pricing policies; and 6) analyze the economics of automating check processing.Banks&Banking Reform,Payment Systems&Infrastructure,Financial Intermediation,Banking Law,Economic Theory&Research,Payment Systems&Infrastructure,Banks&Banking Reform,Financial Intermediation,Banking Law,Economic Theory&Research

Towards trajectory anonymization: a generalization-based approach

Trajectory datasets are becoming popular due to the massive usage of GPS and locationbased services. In this paper, we address privacy issues regarding the identification of individuals in static trajectory datasets. We first adopt the notion of k-anonymity to trajectories and propose a novel generalization-based approach for anonymization of trajectories. We further show that releasing anonymized trajectories may still have some privacy leaks. Therefore we propose a randomization based reconstruction algorithm for releasing anonymized trajectory data and also present how the underlying techniques can be adapted to other anonymity standards. The experimental results on real and synthetic trajectory datasets show the effectiveness of the proposed techniques

BlockTag: Design and applications of a tagging system for blockchain analysis

Annotating blockchains with auxiliary data is useful for many applications. For example, e-crime investigations of illegal Tor hidden services, such as Silk Road, often involve linking Bitcoin addresses, from which money is sent or received, to user accounts and related online activities. We present BlockTag, an open-source tagging system for blockchains that facilitates such tasks. We describe BlockTag's design and present three analyses that illustrate its capabilities in the context of privacy research and law enforcement

MobileTrust: Secure Knowledge Integration in VANETs

Vehicular Ad hoc NETworks (VANET) are becoming popular due to the emergence of the Internet of Things and ambient intelligence applications. In such networks, secure resource sharing functionality is accomplished by incorporating trust schemes. Current solutions adopt peer-to-peer technologies that can cover the large operational area. However, these systems fail to capture some inherent properties of VANETs, such as fast and ephemeral interaction, making robust trust evaluation of crowdsourcing challenging. In this article, we propose MobileTrust—a hybrid trust-based system for secure resource sharing in VANETs. The proposal is a breakthrough in centralized trust computing that utilizes cloud and upcoming 5G technologies to provide robust trust establishment with global scalability. The ad hoc communication is energy-efficient and protects the system against threats that are not countered by the current settings. To evaluate its performance and effectiveness, MobileTrust is modelled in the SUMO simulator and tested on the traffic features of the small-size German city of Eichstatt. Similar schemes are implemented in the same platform to provide a fair comparison. Moreover, MobileTrust is deployed on a typical embedded system platform and applied on a real smart car installation for monitoring traffic and road-state parameters of an urban application. The proposed system is developed under the EU-founded THREAT-ARREST project, to provide security, privacy, and trust in an intelligent and energy-aware transportation scenario, bringing closer the vision of sustainable circular economy

Tracing Transactions Across Cryptocurrency Ledgers

One of the defining features of a cryptocurrency is that its ledger, containing all transactions that have evertaken place, is globally visible. As one consequenceof this degree of transparency, a long line of recent re-search has demonstrated that even in cryptocurrenciesthat are specifically designed to improve anonymity it is often possible to track money as it changes hands,and in some cases to de-anonymize users entirely. With the recent proliferation of alternative cryptocurrencies, however, it becomes relevant to ask not only whether ornot money can be traced as it moves within the ledgerof a single cryptocurrency, but if it can in fact be tracedas it moves across ledgers. This is especially pertinent given the rise in popularity of automated trading platforms such as ShapeShift, which make it effortless to carry out such cross-currency trades. In this paper, weuse data scraped from ShapeShift over a thirteen-monthperiod and the data from eight different blockchains to explore this question. Beyond developing new heuristics and creating new types of links across cryptocurrency ledgers, we also identify various patterns of cross-currency trades and of the general usage of these platforms, with the ultimate goal of understanding whetherthey serve a criminal or a profit-driven agenda.Comment: 14 pages, 13 tables, 6 figure