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Datasets for paper "Scanning the IPv6 Internet Using Subnet-Router Anycast Probing"

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DataCite Commons2025-11-03 更新2026-05-04 收录
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https://opara.zih.tu-dresden.de/items/af865a9e-ba8b-4cc2-95f6-6985fecf9b4d
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This dataset is supplement to https://doi.org/10.5281/zenodo.17210253 and contains all the necessary data to re-create plots and tables of the following paper: Scanning the IPv6 Internet Using Subnet-Router Anycast Probing Maynard Koch, Raphael Hiesgen, Marcin Nawrocki, Thomas C. Schmidt, and Matthias Wählisch Proc. ACM Netw., Vol. 3, No. CoNEXT4, Article 50. Publication date: December 2025. https://doi.org/10.1145/3768997 Paper Abstract: Identifying active IPv6 addresses is challenging. Various methods emerged to master the measurement challenge in this huge address space, including hitlists, new probing techniques, and AI-generated target lists. In this short paper, we apply active Subnet-Router anycast (SRA) probing, a commonly unused method to explore the IPv6 address space. We compare our results with lists of active IPv6 nodes obtained from prior methods and with random probing. Our findings indicate that probing an SRA address reveals on average 10% more router IP addresses than random probing and is far less affected by ICMP rate limiting. Compared to targeting router addresses directly, SRA probing discovers 80% more addresses. We conclude that SRA probing is an important addition to the IPv6 measurement toolbox and may improve the stability of results significantly. We also find evidence that some active scans can cause harmful conditions in current IPv6 deployments, which we started to fix in collaboration with network operators.
提供机构:
Technische Universität Dresden
创建时间:
2025-11-03
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