The background to this article is the seeming revival of a sandbox approach to FinTech regulation within the EU, as epitomised by legislative initiatives on AI and DLT. The article contributes to existing literature o...
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This article analyses the existing institutions and infrastructure for payments. Authoritative settlement based on central bank support is seen as being essential for both large value and retail payment systems;and, i...
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This paper considers the design, the development and the experimental evaluation, of a blockchain based smart contract specifying the operating rules of a real time, uniformprice double auction energy market. Producer...
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This paper considers the design, the development and the experimental evaluation, of a blockchain based smart contract specifying the operating rules of a real time, uniformprice double auction energy market. Producers and consumers interact with this contract sending their offers and bids accordingly and the contract clears the market based on a double auction model. We propose four different approaches for implementing, through the Ethereum platform, both the P2P network as well as the smart contract. We systematically compare the above approaches on the basis of their decentralization nature, operating costs, computational costs, effectiveness, security, privacy and beyond. This comparison is achieved through large scale, real time simulations based on the GridLAB-D platform.
Military operations enabled using networks involves generation, transmission, collection and analysis of mission critical data to enable better decision making capabilities to commanders at all levels to achieve the o...
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ISBN:
(纸本)9781538619605
Military operations enabled using networks involves generation, transmission, collection and analysis of mission critical data to enable better decision making capabilities to commanders at all levels to achieve the objectives. This data is generated by variety of heterogeneous elements like humans and equipment in the battlefield. It is of utmost importance to ensure high level of integrity, confidentiality and availability of this data in such an environment and to ensure its sustainability in hostile environments. This paper presents scope and detailed analysis of the idea of utilizing Blockchain technology as a viable solution for ensuring integrity and provenance of data to suit military operations using networks and maintaining sustainability of these networks. The core concepts of Blockchain are presented in a comprehensive manner along with its variations. Military operations enabled using networks are modeled using Network Enabled Military Operations (NEMO) model. The viable framework and architecture for incorporating Blockchain technology to suit security requirements has been analyzed using three case studies relevant in today's scenario.
distributed ledger technology (DLT), including blockchain, is increasingly used within industry ecosystems to create a high-integrity, single source of truth of shared data and business processes across diverse partie...
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distributed ledger technology (DLT), including blockchain, is increasingly used within industry ecosystems to create a high-integrity, single source of truth of shared data and business processes across diverse parties. A major challenge in adopting DLT is the conflicting demands on data transparency for improved integrity, against hiding commercially sensitive data. To address this, some industry ecosystems use multiple ledgers shared only between relevant parties rather than using a single distributedledger across the entire ecosystem. The design problem for this is: What parties should share which ledgers, and what data should be on those ledgers? In this paper, we propose a method employing a Design Structure Matrix (DSM) and Domain Mapping Matrix (DMM) to derive candidate shared ledger combinations for industry ecosystems. The method also indicates, for certain data, centralized web services or point-to-point messages may be more suitable than shared ledgers. We discuss our experiences with applying this method while developing a prototype for an agricultural traceability platform. We also present a genetic-algorithm-based DSM and DMM clustering technique to derive candidate shared ledger combinations.
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