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:
Mon, 03/17/2025 - 12:31
DOI:
10.21227/gfaz-t124
Data Format:
*.csv
Research Article Link:
A Real-World Dataset “IDSIoT2024” for Machine Learning/Deep Learning Based Cyber Attack Detection System for IoT Architecture
Links:
https://doi.org/10.1109/IDCIOT64235.2025.10914935
License:
Creative Commons Attribution
1844 Views
Categories:
IoT
Machine Learning
Security
Keywords:
IoT, Security, vulnerability detection
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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

Comments

This dataset is helpful in developing Intrusion Detection System in IoT networks

Submitted by manasa koppula on Thu, 05/23/2024 - 06:51

for texting 

Submitted by Michael Cussney on Wed, 06/05/2024 - 02:26

Is there a reference paper for this dataset?

Submitted by Aviral Sangal on Fri, 06/21/2024 - 08:16

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.

Submitted by manasa koppula on Wed, 03/19/2025 - 05:15

This dataset is helpful in developing Intrusion Detection System in IoT networks

 

Submitted by abdullah alhusseini on Sun, 12/22/2024 - 08:57

is there any referecne paper for this dataset?

Submitted by umeshwer singh on Mon, 02/17/2025 - 05:01

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.

Submitted by manasa koppula on Wed, 03/19/2025 - 05:14

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."

Submitted by manasa koppula on Mon, 03/17/2025 - 12:29

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