Cyber Risk Propagation on Networks

Many networks face external attacks, necessitating security investments to prevent the spread of infections. Our study addresses the problem of optimal security investments for each node in a network subjected to various strategic attacks. Specifically, we expand on previous findings by introducing a new vector to enhance realism. Utilizing graph theory and game theory approaches, we investigated the existence of individual (Nash) and social equilibria in the game.