A New Individual-Based Model to Simulate Malware Propagation in Wireless Sensor Networks
Farrah Kristel Batista, A. Martı́n del Rey, Araceli Queiruga‐Dios
Abstract
Wireless Sensor Networks (WSNs) are a set of sensor devices deployed in a given area that form a network without a pre-established architecture. Recently, malware has increased as a potential vulnerability for the Internet of Things, and consequently for these networks. The spread of malware on wireless sensor networks has been studied from different perspectives, excluding individual characteristics in most of the models proposed. The primary goal of this work is to introduce an Agent-Based Model for analysing malware propagation on these networks, and its agents, coefficients and transition rules are detailed. Finally, some simulations of the proposed model are included.
Topics & Concepts
MalwareWireless sensor networkComputer scienceComputer networkVulnerability (computing)Key distribution in wireless sensor networksWireless networkWirelessDistributed computingComputer securityTelecommunicationsOpinion Dynamics and Social InfluenceMathematical and Theoretical Epidemiology and Ecology ModelsComplex Network Analysis Techniques