A Comprehensive Study of Datasets for Research Works in IoT Networks

SUPARNA N * and MANJAIAH D H

Department of PG Studies and Research in Computer Science, Mangalore University, Mangalore, India.
 
Research Article
International Journal of Science and Research Archive, 2024, 13(01), 2652–2662.
Article DOI: 10.30574/ijsra.2024.13.1.1941
Publication history: 
Received on 02 September 2024; revised on 13 October 2024; accepted on 15 October 2024
 
Abstract: 
Internet of Things is a trending subject in the field of Computer Science and Information Technology. When a research scholar tries to find a problem statement in the arena of IoT, he or she probably Google the phrase “Security Issues in Internet of Things”. On this day August 22, 2024, when we searched the Google with this phrase, we got about 48,40,00,000 results in 0.46 seconds. When we searched Google Scholar with the same phrase, we got about 40,70,000 results (0.52 sec). This shows that lakhs of researchers are toiling to find solutions for Security Issues in IoT. There is a new and trending way of research that is finding solutions for issues in IoT using Machine Learning and Deep Learning Models. ML and DL algorithms need large sets of Data to train and test the algorithms.  This made us to take up a study on available Datasets for this research topic. When we made review of literature, in this arena of study, we found that researchers are working on only a few datasets, though numerous datasets are available freely on the internet for academic purposes. Hence in this paper we made a comprehensive study of Datasets available for research works in Internet of Things.
 
Keywords: 
Datasets; Machine Learning; Kaggle; Papers with code; Deep learning; Figshare.
 
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