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LNTest: A Testbed for Evaluating Bitcoin Lightning Network-Based Botnets

arXiv Security Archived Jun 12, 2026 ✓ Full text saved

arXiv:2606.12887v1 Announce Type: new Abstract: Bitcoin's Lightning Network (LN) can be exploited as a covert, low-cost command-and-control (C&C) channel for botnets, as demonstrated by the LNBot and D-LNBot designs. However, both remain proof-of-concept prototypes evaluated only through simulation, leaving key questions about real-world topology formation, propagation complexity, and resilience to takedowns unanswered. We present LNTest, the first reusable testbed for LN-based botnets, built fr

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    Computer Science > Cryptography and Security [Submitted on 11 Jun 2026] LNTest: A Testbed for Evaluating Bitcoin Lightning Network-Based Botnets Thomas Bakaysa, Ahmet Kurt, Abdul-Salem Beibitkhan, Jesus Maria Romo Diaz de Leon, Tag Kalat, Joshua Kramer, Estela Rodriguez, Abraham Watkins, Abdullah Aydeger Bitcoin's Lightning Network (LN) can be exploited as a covert, low-cost command-and-control (C&C) channel for botnets, as demonstrated by the LNBot and D-LNBot designs. However, both remain proof-of-concept prototypes evaluated only through simulation, leaving key questions about real-world topology formation, propagation complexity, and resilience to takedowns unanswered. We present LNTest, the first reusable testbed for LN-based botnets, built from Core Lightning nodes containerized with Docker over a shared Bitcoin Core regtest chain. LNTest supports three overlay topology modes (a deterministic chain, autonomous peer discovery, and user-supplied graphs), enabling controlled experiments across different botnet structures. Using LNTest, we report three main findings. First, D-LNBot's autonomous formation protocol does not produce the uniform chain from its design; instead, it creates a clustered chain in which cliques are linked by bridge nodes whose removal fragments the network. Second, command propagation scales linearly with botnet size (\Theta(n)), not the O(m \log n) previously claimed, and gains nothing from higher neighbor connectivity. Third, the overlay topology determines the effectiveness of takedown strategies: uniform-degree chains resist targeted removal but fragment under random failure, scale-free topologies show the opposite pattern, and the autonomous clustered chain is fragile under both, making it the most vulnerable of the three. LNTest is released as open source, with a script that reproduces all our experiments, to support reproducible research on LN-based botnet defenses. Comments: Accepted at the 21st International Conference on Availability, Reliability and Security (ARES 2026) Subjects: Cryptography and Security (cs.CR); Distributed, Parallel, and Cluster Computing (cs.DC); Networking and Internet Architecture (cs.NI) Cite as: arXiv:2606.12887 [cs.CR]   (or arXiv:2606.12887v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2606.12887 Focus to learn more Submission history From: Ahmet Kurt [view email] [v1] Thu, 11 Jun 2026 04:29:49 UTC (167 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-06 Change to browse by: cs cs.DC cs.NI References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
    Category
    ◬ AI & Machine Learning
    Published
    Jun 12, 2026
    Archived
    Jun 12, 2026
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