Enhancing IoT Data Analysis with Machine Learning: A Comprehensive Overview

Amit Kumar Dinkar, Md Alimul Haque and Ajay Kumar Choudhary

LatIA, 2024, vol. 2, 9

Abstract: Machine learning techniques are essential for processing the vast volume of IoT data efficiently, improving performance, and managing IoT applications effectively. Machine learning algorithms play a crucial role in detecting malicious attacks and anomalies in real-time IoT data analysis, thereby enhancing the security of IoT devices. The integration of big data analytics methods with machine learning techniques can further enhance IoT data analysis, improving the performance of IoT applications and overcoming related challenges. Real-time data collection using sensors like DHT11 and Gas level sensors, coupled with machine learning algorithms, enables efficient analysis of IoT data, aiding in the identification of anomalies and attacks. The comprehensive overview of enhancing IoT data analysis with machine learning provides insights for future research, including exploring advanced machine learning algorithms and optimizing data preprocessing techniques to enhance IoT data analysis capabilities.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:rlatia:v:2:y:2024:i::p:9:id:1062486latia20249

DOI: 10.62486/latia20249

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