International Journal of Distributed Computing and Technology
Volume 11, Issue 2 (2025)
Table of contents
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Securing the Edge with Artificial Intelligence, Cyber Defense: Privacy Protocols in Distributed Sensor Networks and Cloud–Fog Ecosystems
Abstract: In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Blockchain as the Bard of Securities Settlement: A New Way to Think About Trust, Speed, and Openness
Abstract: One of the most promising uses of blockchain technology in financial markets is to modernize securities settlement procedures. Centralized intermediaries, like clearing houses and custodians often cause delays, operational inefficiencies, and counterparty risk in traditional settlement systems. Blockchain, or distributed ledger technology (DLT), can completely change this infrastructure by making real-time, peer-to-peer settlement possible, increasing transparency, and making recordkeeping unchangeable. This article looks at the legal, regulatory, and operational effects …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 13–20 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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Fog Computing Architecture and Deployment in IoT
Abstract: The relentless proliferation of Internet of Things maneuvers generates colossal volumes of data at the network edge, straining traditional cloud-centric paradigms with inherent limitations in latency, bandwidth, resilience, and privacy. This necessitates a paradigm shift towards distributed intelligence. Fog Computing arises as a pivotal architectural paradigm, extending computational, storage, and networking capabilities closer to the data source, thereby mitigating latency, reducing bandwidth consumption, and enhancing real-time processing capabilities for critical …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 31–39 Read article
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A Critical Study of Virtualization Technologies for Design of Web 3.0 Applications
Abstract: Web 3.0 represents a paradigm shift toward decentralized, user-centric internet applications built on blockchain technology, semantic web principles, and distributed systems. Virtualization technologies play a crucial role in enabling the infrastructure, scalability, and resource management required for Web 3.0 applications. This review article critically examines the intersection of virtualization technologies and Web 3.0 application design, exploring how containerization, virtual machines, serverless computing, and network virtualization facilitate decentralized architectures. We analyze …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article