Statistical Model Checking of Common Attack Scenarios on Blockchain

Ivan Fedotov
(Moscow Institute of Physics and Technology)
Anton Khritankov
(Moscow Institute of Physics and Technology)

Blockchain technology has developed significantly over the last decade. One of the reasons for this is its sustainability architecture, which does not allow modification of the history of committed transactions. That means that developers should consider blockchain vulnerabilities and eliminate them before the deployment of the system. In this paper, we demonstrate a statistical model checking approach for the verification of blockchain systems on three real-world attack scenarios. We build and verify models of DNS attack, double-spending with memory pool flooding, and consensus delay scenario. After that, we analyze experimental results and propose solutions to avoid these kinds of attacks.

In Temur Kutsia: Proceedings of the 9th International Symposium on Symbolic Computation in Software Science (SCSS 2021), Hagenberg, Austria, September 8-10, 2021, Electronic Proceedings in Theoretical Computer Science 342, pp. 65–77.
Published: 6th September 2021.

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