| Autor: |
Eduarda T. C. Chagas, João B. Borges, Heitor S. Ramos |
| Rok vydání: |
2022 |
| Zdroj: |
Anais Estendidos do XXVIII Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2022). |
| DOI: |
10.5753/webmedia_estendido.2022.224372 |
| Popis: |
The main objective of this tutorial is to present the fundamentals of temporal data analysis using ordinal patterns and descriptors from Information Theory, covering the tools and steps necessary for developing applications and services to detect botnets in the Internet of Things (IoT) scenarios. Thus, we investigated and presented the solutions proposed in the literature for the following questions: (i) What are the main advantages of the Bandt-Pompe methodology in the temporal data analysis process? (ii) How can we use Information Theory descriptors and ordinal patterns in data characterization activities? (iii) What are the main research problems? (iv) What are the main characteristics of the methodology that enable the development of applications in the context of IoT and botnet detection? |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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