Abstract
Since the inception of Mirai in 2016, a proliferation of advanced botnets targeting Internet of Things (IoT) devices has occurred, resulting in a notable increase in large-scale cyber attacks against online services. The continual emergence of novel strategies characterises the evolving landscape of IoT botnets. Despite this, a comprehensive understanding of this evolving threat remains elusive, impeding the development of robust defence mechanisms. This paper investigated 55 instances of IoT botnets spanning from 2008 to 2021 to elucidate their evolutionary patterns based on prevalent tactics and techniques. A novel taxonomy of IoT botnets is proposed and formulated with attack tactics, techniques, types, and procedures. We augment our existing simulation framework, IoTSecSim, with enhanced functionalities to simulate novel cyber-attack scenarios incorporating diverse network configurations, evolving attack tactics, and defence strategies. Through comprehensive simulations via the extended IoTSecSim, we assessed the impact of these evolving IoT attack tactics and gauged the efficacy of traditional defence mechanisms using various security metrics. © 2025 The Authors.
| Original language | English |
|---|---|
| Article number | 104537 |
| Number of pages | 23 |
| Journal | Computers & Security |
| Volume | 157 |
| Online published | 1 Jun 2025 |
| DOIs | |
| Publication status | Published - Oct 2025 |
| Externally published | Yes |
Research Keywords
- Botnet attacks
- Evolving attacks
- Graphical security modelling
- Internet of things
- Security evaluation
- Simulation
- Taxonomy
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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