The Coevolving Attackers and Defenders for Large Infrastructure Networks (CEADS-LIN) project resides in the Natural Computation Laboratory in the Department of Computer Science at Missouri University of Science and Technology (Missouri S&T), formerly University of Missouri-Rolla (UMR). Since its founding in 2002, the NC-LAB has concentrated on Evolutionary Computing (EC) and hyper-heuristics, focusing on two main areas, namely (1) the development of novel types of Evolutionary Algorithms (EAs) and hyper-heuristics, and (2) their application to real-world problems, in particular in cyber security and critical infrastructure protection. The bulk of the NC-LAB funding has come from Sandia National Laboratories and Los Alamos National Laboratory.
The CEADS-LIN project is investigating the use of coevolution, intelligent learning agents, and cyber security research infrastructures, to simultaneously identify low-cost high-impact adaptive attack strategies on large infrastructure networks (e.g., enterprise computer networks) and suitable adaptive defense strategies. Currently the project is reviewing the suitability of Emulab and The DeterLab Project for this purpose. This project is funded through the Los Alamos National Laboratory/Missouri University of Science and Technology Cyber Security Sciences Institute (LANL/S&T CSSI).