Abstract
The Internet of Things (IoT) and wireless sensor networks (WSNs) utilize their connectivity to enable solutions supporting a spectrum of industries in different and volatile environments. To effectively enhance the security and quality of the service of networks, empirical research should consider a variety of factors and be reproducible. This will not only ensure scalability but also enable the verification of conclusions, leading to more reliable solutions. Cooja offers limited performance analysis capabilities of simulations, which are often extracted and calculated manually. In this paper, we introduce the Build–Launch–Consolidate (BLC) framework and a toolkit that enable researchers to conduct structured and conclusive experiments considering different factors and metrics, experiment design, and results analysis. Furthermore, the toolkit analyzes diverse network metrics across various scenarios. As a proof of concept, this paper studies the flooding attacks on the IoT and illustrates their impact on the network, utilizing the BLC framework and toolkit.
Original language | English |
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Article number | 17 |
Journal | Journal of Sensor and Actuator Networks |
Volume | 13 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2024 |
Bibliographical note
Publisher Copyright:© 2024 by the authors.
Keywords
- cybersecurity
- Denial of Service
- flooding
- framework
- Internet of Things
- RPL
- tool
- wireless sensor networks
ASJC Scopus subject areas
- Instrumentation
- Computer Networks and Communications
- Control and Optimization