This article reviews and presents various solved and open problems in the development,
analysis, and control of epidemic models. The proper modeling and analysis of spreading …

This review presents and reviews various solved and open problems in developing,
analyzing, and mitigating epidemic spreading processes under human decision-making. We …

Iterated games constitute an important topic of evolutionary game theory and shape the
human long-run behaviors in social systems. A new class of memory-one strategies for …

Practically, a botnet is spread over the Internet of Things (IoT) to ensure an attacker the
control of a large number of devices. In this context, in which IoT users react to protect their …

The control of virus spreading over complex networks with a limited budget has attracted
much attention but remains challenging. This article aims at addressing the combinatorial …

In this paper, we study decentralized protection strategies against susceptible-infected-
susceptible epidemics on networks. We consider a population game framework where …

We study a susceptible-infected-susceptible epidemic process over a static contact network
where the nodes have partial information about the epidemic state. They react by limiting …

In this paper we study the dynamics of epidemic processes taking place in adaptive
networks of arbitrary topology. We focus our study on the adaptive susceptible-infected …

We present a dynamic population game model to capture the behavior of a large population
of individuals in presence of an infectious disease or epidemic. Individuals can be in one of …

In numerous contexts, individuals may decide whether they take actions to mitigate the
spread of disease, or not. Mitigating the spread of disease requires an individual to change …