Collection of scripts and a binary agent for automated reconnaissance scanning, SSH/Telnet propagation, and C2 control

Benchmark datasets containing both normal background traffic and worm traffic

Benchmark datasets containing both normal background traffic and worm traffic

An uncertainty-driven probabilistic framework for modeling worm propagation in large-scale networks. It uses stochastic infection rates to capture bursty behavior, adaptive slowdowns, and defense mechanisms, improving prediction accuracy over traditional models while remaining safe, reproducible, and suitable for cybersecurity research.