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Chapter and Conference Paper
A Network Centrality Game for Epidemic Control
Many epidemic networks admit the partition of the population into three compartments of respective susceptible, infected, and removed individuals. These epidemics involve a conflict between the agent who is pr...
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Chapter and Conference Paper
Asymmetric Centrality Game Against Network Epidemic Propagation
The Mirai botnet network epidemic discovered in 2016 falls into the category of numerous epidemics propagated by attackers over a network to gain control over multiple devices. This particular epidemic has bee...
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Chapter and Conference Paper
Optimizing Intrusion Detection Systems Placement Against Network Virus Spreading Using a Partially Observable Stochastic Minimum-Threat Path Game
Intrusion Detection Systems (IDS) are security tools that aim to detect tentative of virus propagation between two interconnected devices. As the propagation of a virus or malware is dynamic and can be strateg...
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Article
A Partially Observable Stochastic Zero-sum Game for a Network Epidemic Control Problem
The mathematical theory of epidemics borrows its fundamental notions from epidemiology. These notions encompass the division of the population of individuals into compartments and thereafter the classification...
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Chapter and Conference Paper
Partially Observable Stochastic Games for Cyber Deception Against Network Epidemic
A Decentralized Denial of Service is an attack done by an agent capable to control the spread of a malware. This is a combination of epidemiological and conflictual aspects between several decision makers. The...
