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arXiv · 1804.05932

Towards Robust Monitoring of Stealthy Diffusion

Shaojie Tang
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Abstract

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 a defender. The attacker can launch an attack by distributing a limited number of seeds (i.e., virus) to the network, and/or manipulate the propagation probabilities on a limited number of edges. Under our $(\alpha, \beta)$-Monitoring game, we say an attack is successful if and only if the following 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 set of monitors in the network that can minimize attacker's success ratio in the worst-case. Our work is built upon recent work in security games, compared with stochastic guarantees, our adversarial setting leads to more robust solutions in practice.

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Shaojie Tang. 2018-04-16. Towards Robust Monitoring of Stealthy Diffusion. https://arxiv.org/abs/1804.05932

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