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BSSFFS: blockchain-based sybil-secured smart forest fire surveillance

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Abstract

Forest fires can have multiple engenderers including lighting and thunder, unauthorized human exercises, and unrestrained fire projects. In addition to precautions, quick detection, immediate communication, and prompt response are critical to keeping losses to life and property at bay. This work presents Sybil-secured Smart Forest Fire Surveillance based on Blockchain Technology. This work encompasses a detailed three-layer architecture consisting of IoT Layer (sensors planted in the forest), Fog Layer (a decentralized network of fog nodes), and Cloud Layer (Blockchain-based cloud storage capable of computations, decision making, and forecasting). Further, a Blockchain technology-based framework for secured and Sybil-protected data transmission in wildfire scenarios is proposed here. Moreover, an energy-efficient Blockchain consensus algorithm has also been designed and implemented here. Numerous QoS metrics have been considered and used for the evaluation of the proposed system. This work opens the gate to a vista of further research for secure data transmission in wildfire scenarios.

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Acknowledgements

This research is found in parts by DST-SERB project ECR/2017/000983 Grants. The authors would like to thank DST-SERB for this support.

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Authors and Affiliations

  1. National Institute of Technology, Patna, Bihar, 800005, India

    Sreemana Datta, Sonal Kumar & Ditipriya Sinha

  2. Birla Institute of Technology Mesra, Patna, Bihar, India

    Ayan Kumar Das

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  1. Sreemana Datta
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  2. Sonal Kumar
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Correspondence to Ditipriya Sinha.

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Datta, S., Kumar, S., Sinha, D. et al. BSSFFS: blockchain-based sybil-secured smart forest fire surveillance. J Ambient Intell Human Comput 13, 2479–2510 (2022). https://doi.org/10.1007/s12652-021-03591-1

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