A real time dataset "IDSIoT2024"
- Citation Author(s):
-
Manasa Koppula
(SR University, Warangal, India)
Leo Joseph L.M.I. (SR University, Warangal, India) - Submitted by:
- manasa koppula
- Last updated:
- DOI:
- 10.21227/gfaz-t124
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Abstract
This data reflects the prevalence and adoption of smart devices. The experimental setup to generate the IDSIoT2024 dataset is based on an IoT network configuration consisting of seven smart devices, each contributing to a diverse representation of IoT devices. These include a smartwatch, smartphone, surveillance camera, smart vacuum and mop robot, laptop, smart TV, and smart light. Among these, the laptop serves a dual purpose within the network. Firstly, it is connected to persistently trace network traffic, automatically generating and saving log files for analysis. Secondly, the laptop is actively involved in deploying various network-based attacks as part of the experimental scenarios. This comprehensive IoT network configuration enables the evaluation of the proposed methodologies and detection mechanisms in a realistic and varied environment.
Instructions:
This dataset has 12 differnt types. of sub categories. In CSV file the files converted directly from PCAP are available. For using the files directly the users can use CSV Preprocess. In the CSV Preprocess folder different types of attacks are there in different csv file. In the CSV Preprocess folder, UpdatedFinal CSV file can be used directly for intrusion detection system implementation for IoT networks using Machine Learning algorithm
This dataset is helpful in developing Intrusion Detection System in IoT networks
for texting
Is there a reference paper for this dataset?
In reply to Is there a reference paper by Aviral Sangal
M. Koppula and L. M. I. Leo Joseph, "A Real-World Dataset “IDSIoT2024” for Machine Learning/Deep Learning Based Cyber Attack Detection System for IoT Architecture," 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2025, pp. 1757-1764, doi: 10.1109/IDCIOT64235.2025.10914935.
This dataset is helpful in developing Intrusion Detection System in IoT networks
is there any referecne paper for this dataset?
In reply to is there any referecne paper by umeshwer singh
M. Koppula and L. M. I. Leo Joseph, "A Real-World Dataset “IDSIoT2024” for Machine Learning/Deep Learning Based Cyber Attack Detection System for IoT Architecture," 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2025, pp. 1757-1764, doi: 10.1109/IDCIOT64235.2025.10914935.
Reference to this dataset is "M. Koppula and L. M. I. Leo Joseph, "A Real-World Dataset “IDSIoT2024” for Machine Learning/Deep Learning Based Cyber Attack Detection System for IoT Architecture," 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2025, pp. 1757-1764, doi: 10.1109/IDCIOT64235.2025.10914935."
How to access the dataset...