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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55367

Adaptive Service Dependent Secure Blockchain Model in IOT Network

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55367

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55367

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

GBD

Gangappa B Demmannavar

SM

Swathi M

RCR

Ramyashree CYamini R

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Abstract

This project presents a smart industrial monitoring system that integrates IoT, blockchain, and intelligent networking to ensure secure, reliable, and efficient environmental monitoring. An ESP32-based sensor network is deployed to continuously measure critical industrial parameters such as temperature, humidity, gas concentration, and dust density.The collected data is uploaded to the ThingSpeak cloud platform in real-time, enabling remote monitoring, analytics, and early detection of anomalies or hazardous conditions. To enhance security and integrity, blockchain technology is implemented to create a tamperproof distributed ledger of sensor readings, ensuring that the data cannot be altered by unauthorized users. The sensor nodes are structured into clusters, and communication is optimized using shortest path algorithms, reducing network latency and improving energy efficiency. By combining secure data handling with intelligent routing, the proposed system offers a scalable and robust solution for modern industrial automation, predictive maintenance, and safety management.

KEYWORDS

IOT-based Industrial monitoring Blockchain security Tamper-proof Data storage Smart Industrial Automation Anomoly Detection Adaptive blockchain model Environment parameter monitering.

Cite This Article

Gangappa B Demmannavar, Swathi M, Ramyashree CYamini R, "Adaptive Service Dependent Secure Blockchain Model in IOT Network," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55367

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Publication Date

12/20/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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

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