Designing a Low-Latency, Adaptive Cybersecurity Simulator: A Hybrid Architecture of Stochastic Generation and Deterministic Validation

Lukman Lukman; Bhanu Sri Nugraha

doi:10.33998/processor.2026.21.1.2777

Authors

Lukman Lukman Universitas Amikom Yogyakarta
Bhanu Sri Nugraha Universitas Amikom Yogyakarta

DOI:

https://doi.org/10.33998/processor.2026.21.1.2777

Keywords:

Adaptive Learning Systems, Cybersecurity Education, Finite State Machine, Gamified Learning Environments, Procedural Content Generation

Abstract

Cybersecurity training is usually plagued by a lack of individuality when it comes to the scenarios presented, which tends to make students memorize instead of understand. In this paper is presented NODEZERO, a browser based simulator to automatically create new educational content. Using Design Science Research We created a lightweight Single Page Application that fused a two-part procedural generation algorithm with a deterministic Finite State Machine (FSM). The hybrid design randomises network topologies and encryption settings and the FSM verifies what the users are doing using a state-based tool selection system. Results show that NODEZERO produces unique missions (no noticeable delay); frame times are below 16 ms. Functional tests have shown that Difficulty Multiplier adjusts the complexity of each mission for difficulty: experts receive difficult levels and beginners receive easy levels. The research shows that the combination of stochastic creation of environment and deterministic validation is an scalable "infinite drilling" solution that avoids manual content creation.

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