A New Individual-Based Model to Simulate Malware Propagation in Wireless Sensor Networks
| Autor: | Araceli Queiruga-Dios, Ángel Martín del Rey, Farrah Kristel Batista |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
cybersecurity
Computer science General Mathematics 02 engineering and technology computer.software_genre Set (abstract data type) Individual based wireless sensor network 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Engineering (miscellaneous) Vulnerability (computing) Agent-based model business.industry malware lcsh:Mathematics 020206 networking & telecommunications lcsh:QA1-939 agent-based model Malware 020201 artificial intelligence & image processing business Internet of Things Wireless sensor network computer mathematical model Computer network |
| Zdroj: | Mathematics Volume 8 Issue 3 Mathematics, Vol 8, Iss 3, p 410 (2020) |
| ISSN: | 2227-7390 |
| DOI: | 10.3390/math8030410 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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