arXiv subjects

Sunkanmi Oluwadare

Publications and source records attributed to Sunkanmi Oluwadare.

3 recordsLinked to original sources

arXiv2025

Mapping The Invisible Internet: Framework and Dataset

This article describes a novel dataset that maps the network layer of the Invisible Internet Project (I2P). The data was collected using SWARM-I2P framework, which deployed I2P routers as a network of mapping agents that gather information on the network's topology and traffic over an extended period. The dataset documents over 50,000 nodes, including subsets of high-performance (FastSet) nodes and high-capacity nodes characterized by metrics such as bandwidth, latency, and uptime. It also contains detailed records of network traffic and the geographic distribution of thousands of nodes. Data was collected using a combination of methods, including querying router consoles, analysing the network database (netDb), and passive network monitoring. All node identifiers were anonymized to maintain user privacy. The data is publicly available in CSV and TXT formats on Zenodo, with mapping scripts provided on GitHub. This resource provides a foundational understanding of the decentralized routing behaviours that underpin I2P's anonymity, making it suitable for reuse in analyses of tunnel node selection, anonymity network resilience, and adversarial modelling.

cs.NI↗

arXiv2025

Examining I2P Resilience: Effect of Centrality-based Attack

This study examines the robustness of I2P, a well-regarded anonymous and decentralized peer-to-peer network designed to ensure anonymity, confidentiality, and circumvention of censorship. Unlike its more widely researched counterpart, TOR, I2P's resilience has received less scholarly attention. Employing network analysis, this research evaluates I2P's susceptibility to adversarial percolation. By utilizing the degree centrality as a measure of nodes' influence in the network, the finding suggests the network is vulnerable to targeted disruptions. Before percolation, the network exhibited a density of 0.01065443 and an average path length of 6.842194. At the end of the percolation process, the density decreased by approximately 10%, and the average path length increased by 33%, indicating a decline in efficiency and connectivity. These results highlight that even decentralized networks, such as I2P, exhibit structural fragility under targeted attacks, emphasizing the need for improved design strategies to enhance resilience against adversarial disruptions.

cs.CR↗

arXiv2024

Scalability in Workforce Management: Applying Scalability Principles to Foster a Four-Day Work Week

The traditional five-day workweek faces mounting challenges, prompting exploration of alternative models like the four-day workweek. This research explores the transformative potential of scalability principles derived from cloud computing and IT in redefining workforce management for a four-day workweek. The study employs a Multivocal Literacy Research methodology, combining grey literature and systematic review approaches. Through a comprehensive review of related work, the challenges, and benefits of transitioning to a four-day workweek are explored. Pilot programs, clear communication, and agility are identified as critical success factors. The synthesis of scalability principles in workforce management serves as a powerful framework for a smooth transition towards a four-day workweek. By prioritizing adaptability, dynamic resource allocation, and data-driven insights, organizations can unlock the full potential of a compressed work schedule. This research contributes valuable insights for organizations seeking to thrive in the evolving landscape of modern work structures and prioritizing employee well-being.

cs.CY↗