RedTNet: A network model for strategy games

Abstract

Abstract-In this work, we develop a simple, graph-based framework, RedTNet, for computational modeling of strategy games and simulations. The framework applies the concept of red teaming as a means by which to explore alternative strategies. We show how the model supports computer-based red teaming in several applications: realtime strategy games and critical infrastructure protection, using an evolutionary algorithm to automatically detect good and often surprising strategies.

Red teaming with coevolution

“…One is a "Target Weights Player" which was evolved in [9]. This type of player uses a kind of evolved influence map and can respond to developments during play, and should be a strong opponent.…”

“…To illustrate the performance of the algorithm on a red teaming problem, we will use a RedTNet model [9]. RedTNet (pronounced "red net") is a framework for representing certain red teaming problems.…”

“…Blue's aim is to prevent that. The method of play is described below (complete rules may be found in [9]). …”

A Cybersecurity Framework Using Machine Learning for Red Team Operators

“…There are so many types of cyber-attacks, and the increasing count of these makes it difficult for the red team operators to know at least the major types if not all the types of attacks. The authors in [36] argue for strategy games and simulation platform which can help the red team operators to train themselves and work out on their strategies. They presented a network-based framework called RedTNet.…”

“…Unlike [36], the authors in [41] provide a solution which offers real time feedback to the red team operators in an exercise. It also focuses on the game scenarios like [36]. The solution offered is an open-source framework called FrankenStack.…”