Mapping The Invisible Internet: Framework and Dataset

Fuente: arXiv
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Autores principales: Muntaka, Siddique Abubakr, Abdo, Jacques Bou, Akanbi, Kemi, Oluwadare, Sunkanmi, Hussein, Faiza, Kornyo, Oliver, Asante, Michael
Formato: Preprint
Publicado: 2025
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author Muntaka, Siddique Abubakr
Abdo, Jacques Bou
Akanbi, Kemi
Oluwadare, Sunkanmi
Hussein, Faiza
Kornyo, Oliver
Asante, Michael
author_facet Muntaka, Siddique Abubakr
Abdo, Jacques Bou
Akanbi, Kemi
Oluwadare, Sunkanmi
Hussein, Faiza
Kornyo, Oliver
Asante, Michael
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_18159
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Mapping The Invisible Internet: Framework and Dataset
Muntaka, Siddique Abubakr
Abdo, Jacques Bou
Akanbi, Kemi
Oluwadare, Sunkanmi
Hussein, Faiza
Kornyo, Oliver
Asante, Michael
Networking and Internet Architecture
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.
title Mapping The Invisible Internet: Framework and Dataset
topic Networking and Internet Architecture
url https://arxiv.org/abs/2506.18159