Malware propagation in Wireless Sensor Networks: global models vs Individual-based models
| Autor: | Farrah Kristel Batista, Ángel Martín del Rey, A. Queiruga Dios |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
Distributed computing 02 engineering and technology computer.software_genre Network topology lcsh:QA75.5-76.95 Individual based Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering wireless sensor networks Computer Science::Cryptography and Security General Environmental Science individual-based models Mathematical model business.industry General Engineering 020206 networking & telecommunications malware propagation Ordinary differential equation General Earth and Planetary Sciences Malware 020201 artificial intelligence & image processing lcsh:Electronic computers. Computer science business Wireless sensor network computer Computer network Drawback |
| Zdroj: | Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 3, Pp 5-15 (2017) |
| ISSN: | 2255-2863 |
| DOI: | 10.14201/adcaij201763515 |
| Popis: | The main goal of this work is to propose a new framework to design a novel family of mathematical models to simulate malware spreading in wireless sensor networks (WSNs). An analysis of the proposed models in the scientific literature reveals that the great majority are global models based on systems of ordinary differential equations such that they do not consider the individual characteristics of the sensors and their local interactions. This is a major drawback when WSNs are considered. Taking into account the main characteristics of WSNs (elements and topologies of network, life cycle of the nodes, etc.) it is shown that individual-based models are more suitable for this purpose than global ones. The main features of this new type of malware propagation models for WSNs are stated. |
| Databáze: | OpenAIRE |
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