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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Tamper Proof Air Quality Management System using Blockchain

Author 1: Vaneeta M
Author 2: Deepa S R
Author 3: Sangeetha V
Author 4: Kamalakshi Naganna
Author 5: Kruthika S Vasisht
Author 6: Ashwini J
Author 7: Nikitha M
Author 8: Srividya H. R

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2023.0140232

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 2, 2023.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: One of the most important concerns facing urban regions across the world is air pollution. As a result, it's critical to monitor pollution levels and notify the public on the state of the air. An indicator called the Air Quality Index (AQI) does this by mapping the concentration of different contaminants into a single number. Because the examination of pollutant data is frequently opaque to outsiders, poor environmental control judgments may result. This has led to a need for a tamper-proof pollution management system for use by authorities, like the state and central pollution boards. To address these challenges, a model using machine learning algorithms to predict the air quality and store that information in the blockchain is proposed. Machine learning algorithms are used to categorize the air quality, and blockchain technology guarantees a permanent, tamper-proof record of all air quality data. Such a system might address the persistent issues with data dependability, immutability and trust in pollution control. The execution time of two main operations on blockchain are measured. The execution time of the put block is measured as 10 ms and the get block gets executed in 1 ms that fetches data from the blockchain ledger.

Keywords: Air pollution; air quality index; machine learning; blockchain technology

Vaneeta M, Deepa S R, Sangeetha V, Kamalakshi Naganna, Kruthika S Vasisht, Ashwini J, Nikitha M and Srividya H. R, “Tamper Proof Air Quality Management System using Blockchain” International Journal of Advanced Computer Science and Applications(IJACSA), 14(2), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140232

@article{M2023,
title = {Tamper Proof Air Quality Management System using Blockchain},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140232},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140232},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {2},
author = {Vaneeta M and Deepa S R and Sangeetha V and Kamalakshi Naganna and Kruthika S Vasisht and Ashwini J and Nikitha M and Srividya H. R}
}


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