Enhancing Electronic Agriculture Data Security with a Blockchain-Based Search Method and E-Signatures

Main Article Content

Duaa Hammoud Tahayur
Mishall Al-Zubaidie

Abstract

The production of digital signatures with blockchain constitutes a prerequisite for the security of electronic agriculture applications (EAA), such as the Internet of Things (IoT). To prevent irresponsibility within the blockchain, attackers regularly attempt to manipulate or intercept data stored or sent via EAA-IoT. Additionally, cybersecurity has not received much attention recently because IoT applications are still relatively new. As a result, the protection of EAAs against security threats remains insufficient. Moreover, the security protocols used in contemporary research are still insufficient to thwart a wide range of threats. For these security issues, first, this study proposes a security system to combine consortium blockchain blocks with Edwards25519 (Ed25519) signatures to stop block data tampering in the IoT. Second, the proposed study leverages an artificial bee colonizer (ABC) approach to preserve the unpredictable nature of Ed25519 signatures while identifying the optimal solution and optimizing various complex challenges. Advanced deep learning (ADL) technology is used as a model to track and evaluate objects in the optimizer system. We tested our system in terms of security measures and performance overhead. Tests conducted on the proposed system have shown that it can prevent the most destructive applications, such as obfuscation, selfish mining, block blocking, block ignoring, blind blocking, and heuristic attacks, and that our system fends off these attacks through the use of the test of the Scyther tool. Additionally, the system measures performance parameters, including a scalability of 99.56%, an entropy of 60.99 Mbps, and a network throughput rate of 200,000.0 m/s, which reflects the acceptability of the proposed system over existing security systems.




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How to Cite
Tahayur, D. H., & Al-Zubaidie, M. (2024). Enhancing Electronic Agriculture Data Security with a Blockchain-Based Search Method and E-Signatures. Mesopotamian Journal of CyberSecurity, 4(3), 129–149. https://doi.org/10.58496/MJCS/2024/012
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Articles
Author Biography

Duaa Hammoud Tahayur, Department of Computer Sciences, Education College for Pure Sciences University of Thi-Qar, Nasiriyah 64001, IRAQ

Department of Computer Sciences, Education College for Pure Sciences University of Thi-Qar

References

C. Jacklin, and S. Murugavalli, "A comprehensive review of the detection of plant disease using machine learning and deep learning approaches," Measurement: Sensors, 24, 100441, 2022. https://doi.org/10.1016/j.measen.2022.100441.

X. Li, Y. Mei, J. Gong, F. Xiang and Z. Sun, "A blockchain privacy protection scheme based on ring signature," IEEE Access, vol. 8, pp. 76 765-76 772, 2020. https://doi.org/10.1109/ACCESS.2020.2988973.

K. Chatterjee, and A. Singh, "A blockchain-enabled security framework for smart agriculture," Computers and Electrical Engineering, 106, 108594, 2023. https://doi.org/10.1016/j.compeleceng.2023.108594.

K. Taji, and F. Ghanimi, "Enhancing security and privacy in smart agriculture: A novel homomorphic signcryption system," Results in Engineering, 22, 102310, 2024. https://doi.org/10.1016/j.rineng.2024.102310.

A. Aljabri, F. Jemili, and O. Korbaa, "Intrusion detection in cyber-physical system using RSA blockchain technology," Multimedia Tools and Applications, 83(16), 48119-48140, 2024. https://doi.org/10.1007/s11042-023-17576-z.

Y. Chen, H. Chen, M. Han, B. Liu, Q. Chen, Z. Ma, and Z. Wang, "Miner revenue optimization algorithm based on Pareto artificial bee colony in blockchain network," Journal of Wireless Communications and Networking, 2021(1), 1-28, 2021. https://doi.org/10.1186/s13638-021-02018-x.

R. P. Kumar, and S. R. Bandanadam, "Block chain-based decentralized public auditing for cloud storage with improved EIGAMAL encryption model," International Journal of Information Technology, 16(2), 697-711, 2024. https://doi.org/10.1007/s41870-023-01599-8.

R. Vardhan, R. Kumar, and P. Supraja, "Intelligent fortification of agricultural data integrity," In 2024 2nd International Conference on Networking and Communications (ICNWC) (pp. 1-8). IEEE, 2024. https://doi.org/10.1109/ICNWC60771.2024.10537380.

M. Al-Zubaidie, and W. A. Jebbar, "Providing security for flash loan system using cryptocurrency wallets supported by XSalsa20 in a blockchain environment," Applied Sciences, 14(14), 6361, 2024. https://doi.org/10.3390/app14146361.

S. A. Yousiff, R. A. Muhajjar, and M. H. Al-Zubaidie, “Designing a blockchain approach to secure firefighting stations based Internet of things”," Informatica, 47(10), 2023. https://doi.org/10.31449/inf.v47i10.5395.

P. Chithaluru, F. Al-Turjman, R. Dugyala, T. Stephan, M. Kumar, and J. S. Dhatterwal, "An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation," Future Generation Computer Systems, 152, 239-253, 2024. https://doi.org/10.1016/j.future.2023.10.020.

A. Panwar, M. Khari, S. Misra, and U. Sugandh, "Blockchain in agriculture to ensure trust, effectiveness, and traceability from farm fields to groceries," Future Internet, 15(12), 404, 2023. https://doi.org/10.3390/fi15120404.

E. Johns, "Cyber security breaches survey 2023," GOV.UK, 2023, available in https://www.gov.uk/government/statistics/cyber-security-breaches-survey-2023/cyber-security-breaches-survey-2023.

K. Hasan, M. Sajid, M. Lapina, M. Shahid, and K. Kotecha, "Blockchain technology meets 6G wireless networks: A systematic survey," Alexandria Engineering Journal, 2024. http://dx.doi.org/10.1016/j.aej.2024.02.031.

S. Yang, S. Li, W. Chen, and Y. Zhao, "A Redactable blockchain-based data management scheme for agricultural product traceability," Sensors, 24(5), 1667, 2024. https://doi.org/10.3390/s24051667.

USDA, An official website of the United States government, "GIAC Cyber Security Discussion Paper," U.S. Department of Agriculture, 2024, available in https://www.ams.usda.gov/about-ams/giac-may-2024-meeting/cybersecurity#:~:text=AGCO%2C%20a%20major%20provider%20of,including%20a%20tractor%20assembly%20facility.

A., G. Faisal, and S. S. Vinod Chandra. "Blockchain technology in agriculture: Digitizing the Iraqi agricultural environment," Environment, Development, and Sustainability, 2024. http://dx.doi.org/10.1007/s10668-024-04623-4.

L. Bing, M. Zheng, and M. Maode, "A novel security scheme supported by certificateless digital signature and blockchain in named data networking," IET Information Security, Volume 2024, Article ID 6616095, 2024. http://dx.doi.org/10.1049/2024/6616095.

A.A. Alahmadi, M. Aljabri, F. Alhaidari, D.J. Alharthi, G.E. Rayani, L.A. Marghalani, O.B. Alotaibi and S.A. Bajandouh, "DDoS attack detection in IoT-based networks using machine learning models: A survey and research directions," Electronics, 12, 3103, 2023. https://doi.org/10.3390/electronics12183103.

M. Al-Zubaidie, "Implication of lightweight and robust hash function to support key exchange in health sensor networks," Symmetry, 15(1), 152, 2023. https://doi.org/10.3390/sym15010152.

S. Zheng, and C. Jiang, "Consortium blockchain in shipping: Impacts on industry and social welfare," Transportation Research Part A: Policy and Practice, 183, 104071, 2024. https://doi.org/10.1016/j.tra.2024.104071.

K. Rakhimberdiev, A. Ishnazarov, P. Allayarov, F. Ollamberganov, R. Kamalov, and M. Matyakubova, "Prospects for the use of neural network models in the prevention of possible network attacks on modern banking information systems based on blockchain technology in the context of the digital economy," In Proceedings of the 6th International Conference on Future Networks & Distributed Systems, pp. 592-599, 2022. https://doi.org/10.1145/3584202.3584291.

M. Al-Zubaidie, Z. Zhang, and J. Zhang, "REISCH: Incorporating lightweight and reliable algorithms into healthcare applications of WSNs," Applied Sciences, 10(6), 2007, 2020. https://doi.org/10.3390/app10062007.

X. Zhou, Y. Wu, M. Zhong, and M. Wang, "Artificial bee colony algorithm based on multiple neighborhood topologies," Applied Soft Computing, 111, 107697, 2021. https://doi.org/10.1016/j.asoc.2021.107697.

S. Aslan, "A comparative study between artificial bee colony (ABC) algorithm and its variants on big data optimization," Memetic Computing, 12(2), 129-150, 2020. https://doi.org/10.1007/s12293-020-00298-2.

D. Owens, R. El Khatib, M. Bisheh-Niasar, R. Azarderakhsh, and M. M. Kermani, "Efficient and side-channel resistant Ed25519 on ARM Cortex-M4," IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 2674 – 2686, 2024. https://doi.org/10.1109/TCSI.2024.3384414.

M. Al-Zubaidie, and R. A. Muhajjar, "Integrating trustworthy mechanisms to support data and information security in health sensors," Procedia Computer Science, 237, 43-52, 2024. https://doi.org/10.1016/j.procs.2024.05.078.

P. S. Solanki, and G. Joshi, "Internet of Things: A growing trend in India's agriculture and linking farmers to modern technology," In Precision Agriculture for Sustainability, Apple Academic Press, pp. 373-382, 2024.

J. Xiao, Y. Jiao, Y. Li, and Z. Jiang, "Towards a trusted and unified consortium-blockchain-based data sharing infrastructure for open learning—TolFob architecture and implementation," Sustainability, 13(24), 14069, 2021. https://doi.org/10.3390/su132414069.

S. Han, Z. Wang, D. Shen, and C. Wang, "A Parallel Multi-Party Privacy-Preserving Record Linkage Method Based on a Consortium blockchain," Mathematics, 12(12), 1854, 2024. https://doi.org/10.3390/math12121854.

T. H. Yuen, "PAChain: Private, authenticated & auditable consortium blockchain and its implementation," Future Generation Computer Systems, 112, 913-929, 2020. https://doi.org/10.1016/j.future.2020.05.011.

A. Saihood, M. A. Al-Shaher and M.A. Fadhel, "A new tiger beetle algorithm for cybersecurity, medical image segmentation and other global problems optimization," Mesopotamian Journal of Cybersecurity, 17–46, 2024. https://doi.org/10.58496/MJCS/2024/003.

M. Farsi, J. A. Erkoyuncu, and A. Harrison, "A super simple life-cycle cost estimation model with minimum data requirement," TESConf 2020 - 9th International Conference on Through-life Engineering Services, 2020. https://dx.doi.org/10.2139/ssrn.3718042.

Z. Bingul, O. Karahan, "Comparison of PID and FOPID controllers tuned by PSO and ABC algorithms for unstable and integrating systems with time delay," Optimal Control Applications and Methods, 39(4), 1431-1450, 2018. https://doi.org/10.1002/oca.2419.

W. Jebbar and M. Al-Zubaidie, “Transaction security and management of blockchain-based smart contracts in e-banking-employing microsegmentation and yellow saddle Goatfish”, Mesopotamian Journal of CyberSecurity, 4(2), 1-19, 2024. https://doi.org/10.58496/MJCS/2024/005.

R. Fotohi, and F.S. Aliee, "Securing communication between things using blockchain technology based on authentication and SHA-256 to improve scalability in large-scale IoT," Computer Networks, 197, 108331, 2021. https://doi.org/10.1016/j.comnet.2021.108331.

N. Ullah, P. Meratnia, and J. Havinga, "A Lightweight random number generator for decentralized IoT applications," IEEE Access. 9, 34238-34251, 2021. https://doi.org/10.1109/ACCESS.2021.3061802.

J. Cui, F. Ouyang, Z. Ying, L. Wei, and H. Zhong, "Secure and efficient data sharing among vehicles based on consortium blockchain," IEEE Transactions on Intelligent Transportation Systems, 23(7), 8857-8867, 2021. https://doi.org/10.1109/TITS.2021.3086976.

J. Xiao, T. Luo, C. Li, J. Zhou, and Z. Li, Z. "CE-PBFT: A high availability consensus algorithm for large-scale consortium blockchain," Journal of King Saud University-Computer and Information Sciences, 36(2), 101957, 2024. https://doi.org/10.1016/j.jksuci.2024.101957.