Describes automated methods and tools for discovering information systems through network and host analysis to create high-fidelity emulation models, demonstrated on SCinet with 5 routers and 10,000 endpoints.
Sandia LDRD report summarizing a three-year project to quantify behavioral (not performance) differences between emulations and real-world systems by running representative workloads on both and comparing collected metrics.
Documents lessons learned from running over 10,000 experiments and processing half a petabyte of data to quantify behavioral (not just performance) differences between virtual and physical testbeds for cyber security research.
Comparative analysis quantifying behavioral differences between physical and virtual testbeds for cyber security research to assess the fidelity of virtualized environments for experimentation.
Automated toolset that transforms network and host discovery data into high-fidelity emulation models, demonstrated by modeling SCinet’s 10,000 endpoints and enabling rapid Emulytics experimentation.
Fast, lightweight distributed VM orchestration platform that scales from laptops to massive clusters with virtually no setup, enabling large-scale cyber security experiments and emulation testbeds.