How can you protect simulation algorithms from cyberattacks?
Simulation algorithms are essential tools for research and innovation in various fields, such as engineering, physics, biology, and economics. They allow researchers to model complex systems, test hypotheses, and optimize solutions. However, simulation algorithms are also vulnerable to cyberattacks, which can compromise their integrity, reliability, and confidentiality. How can you protect simulation algorithms from cyberattacks? Here are some tips and best practices to enhance their security.