N-BaIoT: Network-Based Detection of IoT Botnet Attacks
Abstract
"Real traffic data from 9 commercial IoT devices infected by Mirai and BASHLITE botnets. Used for developing anomaly detection systems."
Description
This is one of the most comprehensive cybersecurity datasets for IoT. It features real network traffic from devices like doorbells, thermostats, and baby monitors.
Attacks Covered:
- Mirai Botnet: Ack, Scan, Syn, Udp, and Udpplain attacks.
- BASHLITE Botnet: Combo, Junk, Scan, Tcp, and Udp attacks.
- Benign Traffic: Normal behavior data for baseline training.
Use Case:
Perfect for training Deep Autoencoders to detect zero-day attacks in medical and smart home networks.
Source: UCI Machine Learning Repository (ID: 442).
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on External
Cite This Dataset
External (2026). N-BaIoT: Network-Based Detection of IoT Botnet Attacks. [Dataset]. External. https://archive.ics.uci.edu/dataset/442/detection+of+iot+botnet+attacks+n+baiot
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 07, 2026
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