IoT botnet detection using deep learning
Abstract
The Internet of Things (IoT) is an emerging technology which goal is to render the real world more intelligent, and it is expanding exponentially. This expansion poses a whole bunch of challenges, where the leading challenge is security. The focus of this research is on IoT botnet attacks, which is becoming a major attack for iot networks, detecting the Mrai botnet. We develop a mining based detection technique employing deep learning with different neural network models. We use the iot-23 dataset to determine if the behavior is legitimate or malicious and in a second phase, the most efficient model is used to predict a variant of mirai botnet; Hakai. Developped models enable us to achieve high accuracy that is superior to 90%..
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Subsequent Mirai variants and other IoT-botnet families continue to reproduce this pattern at scale.
“Subsequent Mirai variants and other IoT-botnet families continue to reproduce this pattern at scale”
From Agentic AI and Large Language Models for Autonomous IoT Cybersecurity: A Systematic Survey, Taxonomy, and Research Roadmap (2026) · cites this paper as [10]
Cites
Intelligent Detection of IoT Botnets Using Machine Learning and Deep Learning
Kim, J., Shim, M., Hong, S., Shin, Y., & Choi, E. (2020) · Applied Sciences · doi:10.3390/app10197009 · Cited by 106 · see citing works
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Nageshwaran, V., & Ezekiel, S. (2026) · Electronics · doi:10.3390/electronics15122740 · Cited by 4 · see citing works
“Subsequent Mirai variants and other IoT-botnet families continue to reproduce this pattern at scale [10–15].”
- Authors
- Rabhi, S., Abbes, T., & Zarai, F.
- Affiliations
- University of Sfax (TN)
- Venue
- 2023 International Wireless Communications and Mobile Computing (IWCMC)
- Publisher
- IEEE
- Published
- 2023-06-19
- Pages
- 1107-1111
- OpenAlex
- W4384945980
- Cited by
- 10
- References
- 1
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 3 · 2023: 1
- FWCI
- 3.02
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Wireless Communications and Mobile Computing Conference (IWCMC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- IoT botnet detection, Mirai botnet, Internet of Things security, deep learning, neural network model, IoT-23 dataset, network traffic analysis
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