Secured and Sustainable Supply Chain Management Using Key Escrow Encryption Technique in Blockchain Mechanism




Blockchain, Supply chain management, Secure, Sustainable, Key Escrow, traceability


INTRODUCTION: Supply chain management is the management process of the flow of goods, and services related to financial functionalities, procurement of raw materials delivery to the final destination.

OBJECTIVES: Since the traditional supply chain process lacks data visibility, trustworthiness, and distributed ledger, the need for the blockchain mechanism to ensure the time-stamped transactions to provide a secured supply chain process has been introduced and integrated.

METHODS: The distributed nature of the blockchain helps in organizing the supply chain and engaging the customers with real, verifiable, and immutable data. Blockchain technology enables these transactions to be tracked in a very secure and transparent manner. In this paper, we, therefore, propose a framework that utilizes blockchain and key Escrow encryption systems to optimize the security of supply chains to improve services for global business survivability.

RESULTS: The comparative analysis with the existing benchmarking techniques with respect to the key size, key generation time, and key distribution time was carried out with the proposed model and found that proposed work provides better results.

CONCLUSION: This proposed system can track the authenticity of the product and details about the manufacturer of that particular product. Thus, the paper concludes the proposed work enhances data’s integrity, traceability, and availability and single-point failure can be resolved or reduced using blockchain mechanism.


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Aich S, Chakraborty S, Sain M, Lee HI, Kim HC,: A review on benefits of IoT integrated blockchain-based supply chain management implementations across different sectors with case study. In2019 21st International Conference on advanced communication technology pp. 138-141(2019). DOI:

Xie J, Chen C.: Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model. Operations Management Research. Vol. 15(3-4), pp. 711-24 (2022). DOI:

Anitha, A., Haritha, T.: The Integration of Blockchain with IoT in Smart Appliances: A Systematic Review. Blockchain Technologies for Sustainable Development in Smart Cities, pp.223-246 (2022). DOI:

Anitha, A.: Home security system using internet of things. In IOP conference series: materials science and engineering. Vol. 263, No. 4, pp. 042026 (2017). DOI:

Anitha, A.: Garbage monitoring system using IoT. In IOP Conference Series: Materials Science and engineering. Vol. 263, No. 4, p. 042027 (2017). DOI:

Anitha, A, Sampath N, Jerlin MA,: Smart Irrigation system using Internet of Things, International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India, pp. 1-7(2020). DOI:

Tu M.: An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management: A mixed research approach. The International Journal of Logistics Management. Vol. 12;29 (1) pp. 131-51(2018). DOI:

Fu L, Su JL,: Research on Technical Innovation of Emergency Supply Chain Management Based on Blockchain Technology. In2021 International Conference on Electronic Information Engineering and Computer Science (EIECS), pp. 567-571 (2021). DOI:

Raj Y, Sowmiya B.: Study on Supply Chain Management using Blockchain Technology. In2021 6th International Conference on Inventive Computation Technologies (ICICT), pp. 1243-1247 (2021). DOI:

Kim HM, Laskowski M,: Toward an ontology‐driven blockchain design for supply‐chain provenance. Intelligent Systems in Accounting, Finance and Management. (1) pp.18-27 (2018). DOI:

Priya M, Kumar CA,: A novel approach for merging ontologies using formal concept analysis. International Journal of Cloud Computing.9(2-3), pp.189-206 (2020). DOI:

Priya M, Ch AK,: A novel method for merging academic social network ontologies using formal concept analysis and hybrid semantic similarity measure. Library Hi Tech. 11.38(2), pp.399-419 (2020). DOI:

Priya M, Aswani Kumar C.: An approach to merge domain ontologies using granular computing. Granular Computing. 6(1),pp.69-94 (2021). DOI:

Nakasumi M,: Information sharing for supply chain management based on block chain technology. In2017 IEEE 19th conference on business informatics (CBI) ,Vol. 1, pp. 140-149 (2017). DOI:

Haritha, T, Anitha, A.: Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems. Computers, Materials & Continua, 75(2), pp. 3923 - 3939 (2023). DOI:

Denning DE, Branstad DK,: A taxonomy for key Escrow encryption systems. Communications of the ACM. 1, 39(3),pp.34-40 (1996). DOI:

Kala MK, Priya M.: A Comprehensive Survey on the IoT-Based Electronic Healthcare Records Security, Privacy Issues, and Countermeasures Using Blockchain Technology. In2023 International Conference on Innovations in Engineering and Technology (ICIET), 13, pp. 1-8 (2023). DOI:

Shirley JJ, Priya M,: A Comprehensive Survey on Ensemble Machine Learning Approaches for Detection of Intrusion in IoT Networks. In2023 International Conference on Innovations in Engineering and Technology (ICIET), pp. 1-10 (2023). DOI:

T. Haritha and A. Anitha, "Multi-Level Security in Healthcare by Integrating Lattice-Based Access Control and Blockchain- Based Smart Contracts System," in IEEE Access, vol. 11, pp. 114322-114340, 2023, doi: 10.1109/ACCESS.2023.3324740. DOI:




How to Cite

A. Anitha, M. Priya, M. K. Nallakaruppan, D. Natesan, C. N. Kushagra Jaiswal, and H. K. Srivastava, “Secured and Sustainable Supply Chain Management Using Key Escrow Encryption Technique in Blockchain Mechanism”, EAI Endorsed Trans IoT, vol. 10, Dec. 2023.