Unearthing the Synergy: Exploring Blockchain's Untapped Potential in Precision Agriculture IoT Networks
Abstract
The Internet of Things (IoT) has been more well-known in recent years as a result of the many services it provides and the extensive ways in which it is used in the area of science and technology. Some examples include smart agriculture and smart home gadgets. We currently live in a world that is filled with technologically advanced devices, and we make virtually constant use of them. Because of the growing number of users and the rising volume of data that is being shared, a significant quantity of sensitive information is now at risk of being compromised. Therefore, it is necessary to make certain that the channels through which data is being transferred should reach securely to the endpoint without compromising the data's integrity, confidentiality, or authentication, and that the data that reaches its destination should not be altered or tampered with in any way. In recent years, a significant new method known as blockchain has been established. This method has the potential to contribute to improvements in areas such security and trust, speed, visibility, immutability, and traceability. Because of these facts, the purpose of this study is to investigate the capabilities of the blockchain as well as the effectiveness of using it to address the rising concerns about the performance and security of IoT devices related with precision agriculture.
References
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grids,” Energies (Basel), vol. 13, no. 18, Sep. 2020, doi: 10.3390/en13184813.
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China Perspective,” IEEE Internet of Things Journal, vol. 1, no. 4. Institute of Electrical and Electronics Engineers
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A Survey,” IEEE Access, vol. 8. Institute of Electrical and Electronics Engineers Inc., pp. 153826–153848, 2020.
doi: 10.1109/ACCESS.2020.3018170.
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computing: Threats, current solutions, and open challenges,” IEEE Access, vol. 8, pp. 168825–168853, 2020, doi: 10.1109/ACCESS.2020.3022842.
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2018, doi: 10.1109/ACCESS.2018.2817615.
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Things (IoT) Using Cryptography and Steganography Techniques,” IEEE Transactions on Systems, Man, and
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21. S. P. Gochhayat et al., “Reliable and secure data transfer in IoT networks,” Wireless Networks, vol. 26, no.
8, pp. 5689–5702, Nov. 2020, doi: 10.1007/s11276- 019-02036-0.
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24. M. S. Mahdi, N. F. Hassan, and G. H. Abdul-Majeed, “An improved chacha algorithm for securing data on IoT
devices,” SN Applied Sciences, vol. 3, no. 4, Apr. 2021, doi: 10.1007/s42452-021-04425-7.
25. B. M. Pampapathi, M. Nageswara Guptha, and M. S. Hema, “Data distribution and secure data transmission
using IANFIS and MECC in IoT,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: 10.1007/s12652- 020-02792-4.
26. G. Manogaran, M. Alazab, P. M. Shakeel, and C. H. Hsu, “Blockchain Assisted Secure Data Sharing Model
for Internet of Things Based Smart Industries,” IEEE Transactions on Reliability, 2021, doi: 10.1109/ TR.2020.3047833.
27. V. S. Naresh, S. Reddi, S. Kumari, V. V. L. Divakar Allavarpu, S. Kumar, and M. H. Yang, “Practical Identity
Based Online/Off-Line Signcryption Scheme for Secure Communication in Internet of Things,” IEEE Access, vol. 9, pp. 21267–21278, 2021, doi: 10.1109/ ACCESS.2021.3055148.
28. Q. Miao, H. Lin, X. Wang, and M. M. Hassan, “Federated deep reinforcement learning based secure data sharing for Internet of Things,” Computer Networks, vol. 197, Oct. 2021, doi: 10.1016/j.comnet.2021.108327.
29. ICC 2019-2019 IEEE International Conference on Communications (ICC). IEEE, 2019.
30. U. Bodkhe et al., “Blockchain for Industry 4.0: A comprehensive review,” IEEE Access, vol. 8, pp. 79764–79800,
2020, doi: 10.1109/ACCESS.2020.2988579.
31. R. Malik, Y. Singh, Z. A. Sheikh, P. Anand, P. K. Singh, and T. C. Workneh, “An Improved Deep Belief Network IDS on IoT-Based Network for Traffic Systems,” Journal of Advanced Transportation, vol. 2022, pp. 1–17, Apr. 2022, doi: 10.1155/2022/7892130.
32. P. Anand, Y. Singh, A. Selwal, P. K. Singh, and K. Z. Ghafoor, “IVQFIoT: Intelligent vulnerability quantification
framework for scoring internet of things vulnerabilities,” World,” 2019, pp. 171–191. doi: 10.1007/978-3-030-
01560-2_8.
35. M. Torky and A. E. Hassanein, “Integrating blockchain and the internet of things in precision agriculture:
Analysis, opportunities, and challenges,” Computers and Electronics in Agriculture, vol. 178. Elsevier B.V., Nov. 01, 2020. doi: 10.1016/j.compag.2020.105476.
36. K. Georgiou, S. Xavier-De-Souza, and K. Eder, “The IoT Energy Challenge: A Software Perspective,” IEEE
Embedded Systems Letters, vol. 10, no. 3. Institute of Electrical and Electronics Engineers Inc., pp. 53–56,
Sep. 01, 2018. doi: 10.1109/LES.2017.2741419.
Published
2023-10-27
How to Cite
NARAYAN, Arpit.
Unearthing the Synergy: Exploring Blockchain's Untapped Potential in Precision Agriculture IoT Networks.
Journal of Advanced Research in Electronics Engineering and Technology, [S.l.], v. 10, n. 1, p. 5-15, oct. 2023.
ISSN 2456-1428.
Available at: <http://thejournalshouse.com/index.php/electronics-engg-technology-adr/article/view/844>. Date accessed: 22 dec. 2024.
Section
Research Article
