| Kurzfassung
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Due to the increasing interest of public institutions in blockchain technology, blockchain
systems could become a part of critical infrastructure for applications such as cryptocurrencies.
Such scenarios impose strong security requirements on blockchain systems. To
estimate the impact of the many characteristics that influence the security of blockchain
systems, software architects need a way to analyze their blockchain system designs that is
adaptable to various blockchain system configurations.
In this work, I present a discrete event simulator that can simulate blockchain systems with
various configurations and estimate the probability of successful double-spending attacks.
I present a dedicated design model to represent blockchain system configurations and a
simulation model that simulates blockchain systems based on design model instances.
I ran experiments with different blockchain system configurations and obtained plausible
success probabilities for double-spending attacks. My experiments revealed the influence
of the network topology shape on the resilience of blockchain systems against doublespending
attacks, demonstrating the practical usability of my approach to systematically
improving blockchain system designs.
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