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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40611

An Overview of Ethereum Based Approaches for Landslide Prediction

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40611

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40611

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

CP

Chinchu Paulose

APS

Ansiya P Sham

AKPM

Anu Krishna P M

AP

Athulya Palanadan

SPP

Sarika P P

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Abstract

Landslides are natural disasters that cause significant damage to infrastructure, ecosystems, and human life. Accurate and timely prediction of landslides is crucial for reducing the impact of these events. This paper explores a novel approach to landslide prediction using Ethereum, a leading blockchain platform. By leveraging the capabilities of Ethereum, we propose a decentralized system that collects, stores, and analyzes environmental data through smart contracts, providing a transparent, tamper-proof, and efficient way to predict landslides. The system integrates IoT sensors, machine learning models, and blockchain to ensure data integrity, automate alerts, and enhance decision-making processes for disaster management agencies and affected.

KEYWORDS

Landslide prediction Blockchain Ethereum Smart contracts Decentralized data Environmental monitoring IoT Machine learning.

Cite This Article

Chinchu Paulose, Ansiya P Sham, Anu Krishna P M, Athulya Palanadan, Sarika P P, "An Overview of Ethereum Based Approaches for Landslide Prediction," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40611

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Publication Date

8/31/2025

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Double-Blind Peer Review

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The authors declare no conflict of interest related to this research work.

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