arXiv subjects

Andrea Tundis

Publications and source records attributed to Andrea Tundis.

3 recordsLinked to original sources

arXiv2026

Coin selection by Random Draw according to the Boltzmann distribution

Coin selection refers to the problem of choosing a set of tokens to fund a transaction in token-based payment systems such as, e.g., cryptocurrencies or central bank digital currencies (CBDCs). In this paper, we propose the Boltzmann Draw that is a probabilistic algorithm inspired by the principles of statistical physics. The algorithm relies on drawing tokens according to the Boltzmann distribution, serving as an extension and improvement of the Random Draw method. Numerical results demonstrate the effectiveness of our method in bounding the number of selected input tokens as well as reducing dust generation and limiting the token pool size in the wallet. Moreover, the probabilistic algorithm can be implemented efficiently, improves performance and respects privacy requirements - properties of significant relevance for current token-based technologies. We compare the Boltzmann draw to both the standard Random Draw and the Greedy algorithm. We argue that the former is superior to the latter in the sense of the above objectives. Our findings are relevant for token-based technologies, and are also of interest for CBDCs, which as a legal tender possibly needs to handle large transaction volumes at a high frequency.

cs.CR↗

arXiv2025

Objectives and Design Principles in Offline Payments with Central Bank Digital Currency (CBDC)

In this work, fundamental design principles for a central bank digital currency (CBDC) with an offline functionality and corresponding counter measures are discussed. We identify three major objectives for any such CBDC proposal:(i) Access Control Security - protection of a user's funds against unauthorized access by other users; (ii) Security against Depositor's Misbehavior - preservation of the integrity of an environment (potentially the wallet) against misbehavior of its owner (for example, double-spending), and (iii) Privacy by Design - ensuring privacy is embedded into the system architecture. Our central conclusion is the alignment of the objectives to concrete design elements as countermeasures, whereas certain objectives and countermeasures have no or minimal interferences with each other. For example, we work out that the integrity of a user's wallet and, accordingly, the prevention of double-spending race attacks should be addressed through the adoption and integration of \textit{secure hardware} within a CBDC system.

cs.CR↗

arXiv2025

Data Taxonomy Towards the Applicability of the Digital Twin Conceptual Framework in Disaster Management

The Digital Twin (DT) offers a novel approach to the management of critical infrastructures, including energy, water, traffic, public health, and communication systems, which are indispensable for the functioning of modern societies. The increasing complexity and interconnectedness of these infrastructures necessitate the development of robust disaster response and management strategies. During crises and disasters, data source availability for critical infrastructure may be severely constrained due to physical damage to communication networks, power outages, overwhelmed systems, sensor failure or intentional disruptions, hampering the ability to effectively monitor, manage, and respond to emergencies. This research introduces a taxonomy and similarity function for comparing data sources based on their features and vulnerability to crisis events. This assessment enables the identification of similar, complementary, and alternative data sources and rapid adaptation when primary sources fail. The paper outlines a data source manager as an additional component for existing DT frameworks, specifically the data ingress and scenario mangement. A case study for traffic data sources in an urban scenario demonstrates the proposed methodology and its effectiveness. This approach enhances the robustness and adaptability of DTs in disaster management applications, contributing to improved decision-making and response capabilities in critical situations.

cs.CY↗