Designing a Low-Latency, Adaptive Cybersecurity Simulator: A Hybrid Architecture of Stochastic Generation and Deterministic Validation
DOI:
https://doi.org/10.33998/processor.2026.21.1.2777Kata Kunci:
Sistem Pembelajaran Adaptif, Pendidikan Keamanan Siber, Mesin Keadaan Terbatas, Lingkungan Pembelajaran yang Digamifikasi, Generasi Konten ProseduralAbstrak
Pelatihan keamanan siber biasanya terganggu oleh kurangnya individualitas dalam hal skenario yang disajikan, yang cenderung membuat siswa menghafal daripada memahami. Dalam makalah ini disajikan NODEZERO, simulator berbasis browser untuk secara otomatis membuat konten pendidikan baru. Dengan menggunakan Riset Desain Sains, kami menciptakan Aplikasi Halaman Tunggal (Single Page Application) yang ringan yang menggabungkan algoritma pembangkitan prosedural dua bagian dengan Mesin Keadaan Terbatas (Finite State Machine/FSM) deterministik. Desain hibrida ini mengacak topologi jaringan dan pengaturan enkripsi, dan FSM memverifikasi apa yang dilakukan pengguna menggunakan sistem pemilihan alat berbasis keadaan. Hasil menunjukkan bahwa NODEZERO menghasilkan misi yang unik (tidak ada penundaan yang terlihat); waktu frame di bawah 16 ms. Tes fungsional menunjukkan bahwa Pengali Kesulitan (Difficulty Multiplier) menyesuaikan kompleksitas setiap misi untuk tingkat kesulitan: para ahli menerima tingkat kesulitan yang sulit dan pemula menerima tingkat kesulitan yang mudah. Penelitian menunjukkan bahwa kombinasi pembuatan lingkungan secara stokastik dan validasi deterministik adalah solusi "pengeboran tak terbatas" yang terukur dan menghindari pembuatan konten manual.
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