Search in the Expanse: Towards Active and Global IPv6 Hitlists
Bingnan Hou, Zhiping Cai, Kui Wu, Tao Yang, Tongqing Zhou
Abstract
Global-scale IPv6 scan, critical for network measurement and management, is still a mission to be accomplished due to its vast address space. To tackle this challenge, IPv6 scan generally leverages pre-defined seed addresses to guide search directions. Under this general principle, however, the core problem of effectively using the seeds is largely open. In this work, we propose a novel IPv6 active search strategy, namely HMap6, which significantly improves the use of seeds, w.r.t. the marginal benefit, for large-scale active address discovery in various prefixes. Using a heuristic search strategy for efficient seed collection and alias prefix detection under a wide range of BGP prefixes, HMap6 can greatly expand the scan coverage. Real-world experiments over the Internet in billion-scale scans show that HMap6 can discover 29.39M unique /80 prefixes with active addresses, an 11.88% improvement over the state-of-the-art methods. Furthermore, the IPv6 hitlists from HMap6 include all-responsive IPv6 addresses with rich information. This result sharply differs from existing public IPv6 hitlists, which contain non-responsive and filtered addresses, and pushes the IPv6 hitlists from quantity to quality. To encourage and benefit further IPv6 measurement studies, we released our tool along with our IPv6 hitlists and the detected alias prefixes.
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Cited by top-tier papers2
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Builds on2
- 6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement LearningTianyu Cui, Gaopeng Gou, Gang Xiong, Chang Liu et al.INFOCOM 2021 · 59 citations
- 6Forest: An Ensemble Learning-based Approach to Target Generation for Internet-wide IPv6 ScanningTao Yang, Zhiping Cai, Bingnan Hou, Tongqing ZhouINFOCOM 2022 · 49 citations
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