A novel approach for integrating cryptography and blockchain into IoT system

Mallikarjuna, Basetty; Berar, Gagandeep; Noonia, Ajit; Rani, Lekha; Pushpalatha, Chittemsetty; Sebastian, Shiju

doi:10.47974/JDMSC-2082

Open Access Research Article

A novel approach for integrating cryptography and blockchain into IoT system

Basetty Mallikarjunab.mallikarjuna@iare.ac.inDepartment of Information TechnologyDundigalInstitute of Aeronautical EngineeringHyderabad, Telangana, 500043, IndiaView full profile → , Gagandeep Berargagandeep2913@gmail.comDepartment of Computer Science and EngineeringChitkara University Institute of Engineering and TechnologyChitkara UniversityPunjab, 140401, IndiaView full profile → , ^*Ajit NooniaCorresponding authorajit009noonia@gmail.comDepartment of Computer Science and EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Lekha Ranilbhambhu@gmail.comDepartment of Computer Science and EngineeringChitkara University Institute of Engineering and TechnologyChitkara UniversityPunjab, 140401, IndiaView full profile → , Chittemsetty Pushpalathach.pushaplatha@iare.ac.inDepartment of Master of Business AdministrationDundigalInstitute of Aeronautical EngineeringHyderabad, Telangana, 500043, IndiaView full profile → , Shiju Sebastianshijusebastian@christuniversity.inSchool of Business and ManagementDelhi NCR CampusCHRIST UniversityUttar Pradesh, 201003, IndiaView full profile →

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pp. 2087–2099Vol. 27Issue 7October 2024DOI: 10.47974/JDMSC-2082 Crossmark XML

Received:: 07 Mar 2024
Published Online:: 15 Oct 2024
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-2082
Pages:: 2087–2099

Abstract

The quick advancement of Internet of Things (IoT) emphasizes the significance of cryptography and blockchain ensuring the security of sensitive data and connected devices. Blockchain technology and encryption play key roles in ensuring the security of the expansive IoT network. Blockchain offers decentralized trust, immutability, and transparency to IoT networks and transactions, while encryption serves to protect IoT data from unauthorized access. It is a novel approach for integrating cryptography and blockchain into IoT System, cryptography and blockchain stand out as robust technologies that enhance the security of IoT systems. The implementation of an integrated architecture, along with a strategic integration approach, further strengthens the security measures. This methodology proves valuable for managing and validating digital transactions on decentralized, immutable networks. This work also explores the potential significance of integrating cryptography and blockchain into IoT System, this functions and applications in enhancing IoT security. This methodology introduces encryption techniques tailored for resource-constrained IoT devices, which are essential for ensuring end-to-end security.

Keywords

Cryptography Block chain Integrating approach Security IoT End-to-end security Privacy

Subject Classifications

Primary 93A30Secondary 49K15

References

[1] S. Cherbal, A. Zier, S. Hebal, L. Louail, and B. Annane, “Security in internet of things: a review on approaches based on blockchain, machine learning, cryptography, and quantum computing,” The Journal of Supercomputing, vol. 80, no. 3, pp. 3738-3816 (2024).
[2] B. Mallikarjuna, “Feedback-based fuzzy resource management in IoT-based-cloud,” International Journal of Fog Computing (IJFC), vol. 3, no. 1, pp. 1-21 (2020).
[3] S. Tanwar, N. Gupta, C. Iwendi, K. Kumar, and M. Alenezi, “Next generation IoT and blockchain integration,” Journal of Sensors (2022).
[4] D. K. Sharma, A. K. Kaushik, A. Goel, and S. Bhargava, “Internet of things and blockchain: integration, need, challenges, applications, and future scope,” in Handbook of Research on Blockchain Technology, pp. 271-294. Academic Press (2020).
[5] B. Mallikarjuna, “Feedback-based resource utilization for smart home automation in fog assistance IoT-based cloud,” in Research Anthology on Cross-Disciplinary Designs and Applications of Automation, pp. 803-824. IGI Global (2022).
[6] W. Yan, N. Zhang, L. L. Njilla, and X. Zhang, “PCBChain: Lightweight reconfigurable blockchain primitives for secure IoT applications,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 10, pp. 2196-2209 (2020).
[7] P. Zhang, Y. Wang, G. S. Aujla, A. Jindal, and Y. D. Al-Otaibi, “A blockchain-based authentication scheme and secure architecture for IoT-enabled maritime transportation systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 2, pp. 2322-2331 (2022).
[8] Z. Iftikhar, Y. Javed, S. Y. A. Zaidi, M. A. Shah, Z. I. Khan, S. Mussadiq, and K. Abbasi, “Privacy preservation in resource-constrained IoT devices using blockchain—A survey,” Electronics, vol. 10, no. 14, p. 1732 (2021).
[9] A. Kumar, P. Dadheech, V. Singh, R. C. Poonia, and L. Raja, “An improved quantum key distribution protocol for verification,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 22, no. 4, pp. 491-498 (2019).
[10] R. Akkaoui, “Blockchain for the management of internet of things devices in the medical industry,” IEEE Transactions on Engineering Management, vol. 70, no. 8, pp. 2707-2718 (2021).
[11] A. Kumar, P. Dadheech, V. Singh, L. Raja, and R. C. Poonia, “An enhanced quantum key distribution protocol for security authentication,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 22, no. 4, pp. 499-507 (2019).
[12] N. Janu, A. Kumar, L. Raja, V. Bhatnagar, A. Kumar, S. Kumar, and R. C. Poonia, “Development of an efficient real-time H.264/AVC advanced video compression encryption scheme,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 24, no. 8, pp. 2245-2255 (2021).
[13] M. Kassab, J. DeFranco, T. Malas, P. Laplante, G. Destefanis, and V. V. Graciano Neto, “Exploring research in blockchain for healthcare and a roadmap for the future,” IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 4, pp. 1835-1852 (2019).
[14] A. Altameem, B. Mallikarjuna, A. K. Jilani Saudagar, M. Sharma, and R. C. Poonia, “Improvement of automatic glioma brain tumor detection using deep convolutional neural networks,” Journal of Computational Biology, vol. 29, no. 6, pp. 530-544 (2022).
[15] S. Pal, T. Rabehaja, M. Hitchens, V. Varadharajan, and A. Hill, “On the design of a flexible delegation model for the Internet of Things using blockchain,” IEEE Transactions on Industrial Informatics, vol. 16, no. 5, pp. 3521-3530 (2019).
[16] A. Kumar, P. Dadheech, V. Singh, R. C. Poonia, and L. Raja, “An improved quantum key distribution protocol for verification,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 22, no. 4, pp. 491-498 (2019).
[17] J. Lockl, V. Schlatt, A. Schweizer, N. Urbach, and N. Harth, “Toward trust in Internet of Things ecosystems: Design principles for blockchain-based IoT applications,” IEEE Transactions on Engineering Management, vol. 67, no. 4, pp. 1256-1270 (2020).
[18] B. Mallikarjuna, S. Addanke, and D. J. Anusha, “An improved deep learning algorithm for diabetes prediction,” in Handbook of Research on Advances in Data Analytics and Complex Communication Networks, pp. 103-119. IGI Global (2022).
[19] A. Kumar, P. Dadheech, V. Singh, L. Raja, and R. C. Poonia, “An enhanced quantum key distribution protocol for security authentication,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 22, no. 4, pp. 499-507 (2019).
[20] B. Mallikarjuna, “An effective management of scheduling-tasks by using MPP and MAP in smart grid,” International Journal of Power and Energy Conversion, vol. 13, no. 1, pp. 99-116 (2022).

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