LRA: A Lightweight Reputation-Based Authentication Framework for Secure IoT-Driven E-Commerce Supply Chain Management

Authors

  • M. P. Amulya Department of Computer Science and Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, Visvesvaraya Technological University, Belagavi, Karnataka, India
  • N. Nandini Department of Computer Science and Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, Visvesvaraya Technological University, Belagavi, Karnataka, India
Volume: 16 | Issue: 3 | Pages: 36497-36504 | June 2026 | https://doi.org/10.48084/etasr.18062

Abstract

The rapid integration of Internet of Things (IoT) technologies into e-commerce supply chains introduces critical challenges in security, trust management, and workflow efficiency. Existing blockchain-assisted authentication schemes, such as SPUFCHAIN, suffer from high computational overhead, scalability limitations, and vulnerability to reputation manipulation in resource-constrained environments. To address these issues, this paper presents Lightweight Reputation-based Authentication (LRA), a decentralized trust management framework that combines dynamic reputation evaluation with blockchain-backed immutable storage. The proposed model incorporates direct and indirect trust computation enhanced by historical consistency, fluctuation minimization, and stability factors to ensure reliable authentication. Smart contracts are utilized for automated trust updates and secure workflow validation. The performance of LRA was evaluated using the CICIoV2024 dataset, which simulates realistic adversarial scenarios, including spoofing and denial-of-service attacks, in IoT-enabled environments. Experimental results demonstrate that LRA achieves higher detection rates, significantly reduces misclassification rates, and improves normalized throughput compared to SPUFCHAIN. These findings confirm that LRA provides a scalable, efficient, and secure authentication solution for IoT-driven e-commerce supply chain management systems.

Keywords:

blockchain, e-commerce supply chain, Internet of Things (IoT), lightweight authentication, reputation system, performance optimization

References

B. Annane, A. Alti, and A. Lakehal, "A Blockchain Semantic-based Approach for Secure and Traceable Agri-Food Supply Chain," Engineering, Technology & Applied Science Research, vol. 14, no. 6, pp. 18131–18137, Dec. 2024.

N. N. Abdullah and N. H. S. Alani, "Blockchain adoption in the supply chain: Enablers, barriers, and opportunities from a systematic review," Sustainable Futures, vol. 10, Dec. 2025, Art. no. 101429.

R. M. Alhazmi, "Blockchain-Enabled Digital Transformation in Pharmaceutical Cold Chain Management Using Hybrid Deep Neural Networks," Engineering, Technology & Applied Science Research, vol. 15, no. 6, pp. 28591–28595, Dec. 2025.

R. Rajavel, L. Krishnasamy, P. Nagappan, U. Moorthy, and S. V. Easwaramoorthy, "Cloud-enabled e-commerce negotiation framework using bayesian-based adaptive probabilistic trust management model," Scientific Reports, vol. 15, no. 1, Mar. 2025, Art. no. 9457.

D. Kumar et al., "AI-Powered Security for IoT Ecosystems: A Hybrid Deep Learning Approach to Anomaly Detection," Journal of Cybersecurity and Privacy, vol. 5, no. 4, Oct. 2025, Art. no. 90.

Y. Zuo, "Exploring the Synergy: AI Enhancing Blockchain, Blockchain Empowering AI, and Their Convergence Across IoT Applications and Beyond," IEEE Internet of Things Journal, vol. 12, no. 6, pp. 6171–6195, Mar. 2025.

O. Oloko, "Dynamic Route Optimization in Last-Mile Delivery Using Predictive Analytics: A Case Study of E-commerce in the U.S.," European Journal of Logistics, Purchasing and Supply Chain Management, vol. 12, no. 3, pp. 1–32, 2025.

Q. Wu, Y. Lei, L. Zhang, X. Dong, and F. Rezaeibagha, "Traceable and Verifiable Authorized Cloud-Assisted PSI-CA Protocol for Blockchain-Enabled Intelligent Logistics," IEEE Internet of Things Journal, vol. 12, no. 17, pp. 36451–36470, Sept. 2025.

M. Cheng, B. Shen, and H. L. Chan, "Implementing Artificial Intelligence Consumer Experience Tools in Supply Chains," IEEE Transactions on Engineering Management, vol. 72, pp. 717–729, 2025.

S. Qi, Y. Li, W. Wei, Q. Li, K. Qiao, and Y. Qi, "Truth: A Blockchain-Aided Secure Reputation System With Genuine Feedbacks," IEEE Transactions on Engineering Management, vol. 71, pp. 12433–12447, 2024.

Z. Zhou, M. Wang, Z. Ni, Z. Xia, and B. B. Gupta, "Reliable and Sustainable Product Evaluation Management System Based on Blockchain," IEEE Transactions on Engineering Management, vol. 71, pp. 12259–12271, 2024.

F. Chen, H. Zhang, T. Xiang, and J. K. Liu, "A Two-Stage Approach for Fair Data Trading Based on Blockchain," IEEE Transactions on Information Forensics and Security, vol. 19, pp. 9835–9849, 2024.

G. Li, H. Wu, J. Wu, and Z. Li, "Efficient and secure privacy protection scheme and consensus mechanism in MEC enabled e-commerce consortium blockchain," Journal of Cloud Computing, vol. 13, no. 1, May 2024, Art. no. 97.

T. Jiang, X. Yuan, Q. Cheng, Y. Shen, L. Wang, and J. Ma, "FairECom: Towards Proof of E-Commerce Fairness Against Price Discrimination," IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 4, pp. 3528–3544, July 2024.

M. Qiao, X. Chen, Y. Zhou, and P. Y. Mok, "Blockchain-driven innovation in fashion supply chain contractual party evaluations as an emerging collaboration model," Blockchain: Research and Applications, vol. 6, no. 2, June 2025, Art. no. 100266.

N. Wan, J. Fan, and X. Wu, "The Cost-sharing Mechanism for Blockchain Technology Adoption in the Platform-led E-commerce Supply Chain," Journal of Systems Science and Systems Engineering, vol. 34, no. 2, pp. 156–179, Apr. 2025.

S. Kumar, S. Pandey, and U. Bhatt, "On Enhancing E-Commerce Shipping Policies with Blockchain and Recommender Systems," SN Computer Science, vol. 6, no. 2, Feb. 2025, Art. no. 145.

R. Zhang, Y. Li, and L. Fang, "PBTMS: A Blockchain-Based Privacy-Preserving System for Reliable and Efficient E-Commerce," Electronics, vol. 14, no. 6, Mar. 2025, Art. no. 1177.

Y. Liu, S. Zhang, and Y. Ma, "Automated Runtime Verification of Security for E-Commerce Smart Contracts," Journal of Theoretical and Applied Electronic Commerce Research, vol. 20, no. 2, Apr. 2025, Art. no. 73.

Md. I. Alam, S. Sahoo, S. Sharma, and A. Verma, "Barterchain: a blockchain-based barter system in smart cities," Digital Finance, vol. 7, no. 4, pp. 871–900, Dec. 2025.

L. Wu, C. Duan, and Q. Ji, "Manufacturer Strategies for Blockchain Adoption and Sales Mode Selection with a Dual-Purpose Platform," Systems, vol. 13, no. 6, June 2025, Art. no. 458.

M. I. S. Assaqty et al., "SPUFChain: Permissioned Blockchain Lightweight Authentication Scheme for Supply Chain Management Using PUF of IoT," IEEE Access, vol. 13, pp. 88662–88682, 2025.

E. C. P. Neto et al., "CICIoV2024: Advancing realistic IDS approaches against DoS and spoofing attack in IoV CAN bus," Internet of Things, vol. 26, July 2024, Art. no. 101209.

F. Hrizi and F. Filali, "simITS: an integrated and realistic simulation platform for vehicular networks," in Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, June 2010, pp. 32–36.

K. Alwasel et al., "IoTSim-Osmosis: A framework for modeling and simulating IoT applications over an edge-cloud continuum," Journal of Systems Architecture, vol. 116, June 2021, Art. no. 101956.

"IoV Dataset 2024.' Canadian Institute for Cybersecurity, [Online]. Available: https://www.unb.ca/cic/datasets/iov-dataset-2024.html.

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How to Cite

[1]
M. P. Amulya and N. Nandini, “LRA: A Lightweight Reputation-Based Authentication Framework for Secure IoT-Driven E-Commerce Supply Chain Management”, Eng. Technol. Appl. Sci. Res., vol. 16, no. 3, pp. 36497–36504, Jun. 2026.

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