A Review of SEIR-D Agent-Based Model
| Autor: | Araceli Queiruga-Dios, Ángel Martín del Rey, Farrah Kristel Batista |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Agent-based model
Mathematical model Computer science business.industry 020206 networking & telecommunications 02 engineering and technology computer.software_genre Computer security Work (electrical) 0202 electrical engineering electronic engineering information engineering Malware 020201 artificial intelligence & image processing Internet of Things business computer Wireless sensor network Vulnerability (computing) |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030239459 DCAI (Special Sessions) |
| DOI: | 10.1007/978-3-030-23946-6_15 |
| Popis: | Malware is a potential vulnerability for the Internet of Things; it is for this reason that spread of malware on Wireless Sensor Networks has been studied from different perspectives. However, the individual characteristics have not been considered in most of the proposed models. Consequently, Agent-Based Models can be used, as a mathematical tool, to analyse malware propagation. In this work, an ABM is created from three main elements: agents, environment and rules. This article presents a review of an agent-based model to simulate malware spreading in wireless sensor networks. |
| Databáze: | OpenAIRE |
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