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In this work, we introduce and study the \emph{$(\alpha, \beta)$-Monitoring}game on networks. Our game is composed of two parties an attacker and adefender. The attacker can launch an attack by distributing a limited number ofseeds (i.e., virus) to the network, and/or manipulate the propagationprobabilities on a limited number of edges. Under our $(\alpha,\beta)$-Monitoring game, we say an attack is successful if and only if thefollowing two conditions are satisfied: (1) the outbreak/propagation reaches$\alpha$ individuals, and (2) it has not been detected before reaching $\beta$individuals. On the other end, the defender's ultimate goal is to deploy a setof monitors in the network that can minimize attacker's success ratio in theworst-case. Our work is built upon recent work in security games, compared withstochastic guarantees, our adversarial setting leads to more robust solutionsin practice.

Towards Robust Monitoring of Stealthy Diffusion