Chapter 4 - Queuing-based malware diffusion modeling

Abstract

In this chapter, we present a generic malware diffusion modeling framework that is based on principles and tools from queuing theory and capable of describing malware diffusion dynamics in static and dynamic complex networks for SIS node infection paradigms. After introducing the basic concept, we initially present the framework for distributed wireless networks with fixed topologies, e.g. ad hoc, sensor networks, and then present an extension for other types of complex networks, which are characterized by dynamic nature that involves node and edge churn, i.e. network topologies where nodes enter and leave the network causing link addition/deletion as well. For each topology analyzed, indicative results are provided and studied, revealing the key system parameters determining the behavior and outcome of malware diffusion. The second appendix of the book provides a brief summary of the queuing concepts required in this chapter, thus allowing the novice reader to access the more technical contents of this chapter.