19 research outputs found
Multi-Tenant Provisioning for Quantum Key Distribution Networks with Heuristics and Reinforcement Learning: A Comparative Study
Quantum key distribution (QKD) networks are potential to be widely deployed in the immediate future to provide long-term security for data communications. Given the high price and complexity, multi-tenancy has become a cost-effective pattern for QKD network operations. In this work, we concentrate on addressing the online multi-tenant provisioning (On-MTP) problem for QKD networks, where multiple tenant requests (TRs) arrive dynamically. On-MTP involves scheduling multiple TRs and assigning non-reusable secret keys derived from a QKD network to multiple TRs, where each TR can be regarded as a high-security-demand organization with the dedicated secret-key demand. The quantum key pools (QKPs) are constructed over QKD network infrastructure to improve management efficiency for secret keys. We model the secret-key resources for QKPs and the secret-key demands of TRs using distinct images. To realize efficient On-MTP, we perform a comparative study of heuristics and reinforcement learning (RL) based On-MTP solutions, where three heuristics (i.e., random, fit, and best-fit based On-MTP algorithms) are presented and a RL framework is introduced to realize automatic training of an On-MTP algorithm. The comparative results indicate that with sufficient training iterations the RL-based On-MTP algorithm significantly outperforms the presented heuristics in terms of tenant-request blocking probability and secret-key resource utilization
The Rise and Fall of Cryptocurrencies: Defining the Economic and Social Values of Blockchain Technologies, assessing the Opportunities, and defining the Financial and Cybersecurity Risks of the Metaverse
This paper contextualises the common queries of "why is crypto crashing?" and
"why is crypto down?", the research transcends beyond the frequent market
fluctuations to unravel how cryptocurrencies fundamentally work and the
step-by-step process on how to create a cryptocurrency.
The study examines blockchain technologies and their pivotal role in the
evolving Metaverse, shedding light on topics such as how to invest in
cryptocurrency, the mechanics behind crypto mining, and strategies to
effectively buy and trade cryptocurrencies. Through an interdisciplinary
approach, the research transitions from the fundamental principles of fintech
investment strategies to the overarching implications of blockchain within the
Metaverse. Alongside exploring machine learning potentials in financial sectors
and risk assessment methodologies, the study critically assesses whether
developed or developing nations are poised to reap greater benefits from these
technologies. Moreover, it probes into both enduring and dubious crypto
projects, drawing a distinct line between genuine blockchain applications and
Ponzi-like schemes. The conclusion resolutely affirms the continuing dominance
of blockchain technologies, underlined by a profound exploration of their
intrinsic value and a reflective commentary by the author on the potential
risks confronting individual investors