Cybersecurity Assurance for Teams of Computers and Humans
Effective coordination of human-bot teams is a grand challenge for cybersecurity. While machine learning bots reduce the burden on human analysts by filtering information, cybersecurity poses unique challenges for human-bot teams as active adversaries adapt to changing conditions. This project aims to develop rigorous science for human-bot cybersecurity teams, with the goal of developing cohesive teams that are robust to active human and machine learning adversaries.
Cybersecurity Assurance for Teams of Computers and Humans (CATCH) is a joint U.S. Army Research Office (ARO) Multidisciplinary University Research Initiative (MURI) and Australian Department of Industry, Science, Energy and Resources (DISER) US-Australia International Multiplinary University Research Initiative (AUSMURI) with total funding of USD $6 million (over AUD $8 million), over 3 years.