ReSOTS: RFID/IoT-enabled Secure Object Tracking Key Exchange for Trustworthy Smart Logistics

Author:

Alashjaee Abdullah Mujawib1,Irshad Azeem2ORCID,Daud Ali3,Alhomoud Ahmed1,Altowaijri Saleh M.1,Alshdadi Abdulrahman A.4

Affiliation:

1. Northern Border University

2. International Islamic University

3. Abu Dhabi School of Management

4. University of Jeddah

Abstract

Abstract Smart logistics is acknowledged as a key propellant for rapid industrialization and economic development of the nations. It not only helps to foster the cost-effective services to the end user but also brings transparency in the whole supply chain management process by creating a communicative ecosystem involving IoT, RFID and other Information Communication Technology (ICT)-enabled objects. Realizing the notion of smart logistics involves the real time communication and tracking through 5G-enabled Internet of Things (IoT) and interconnected devices. However, mere technological innovations are not enough, until all supply chain-based intermediaries are secure and trustworthy. Moreover, the smart devices exchanging bulk of data are power deficient devices requiring energy efficient communication techniques. For this reason the underlying protocol authenticating the supply chain intermediaries must not only be secure but also computationally efficient. Many authenticated key agreement solutions can be witnessed lately, however with many limitations. Considering these limitations we propose a novel RFID/IoT-enabled secure symmetric key-based authentication protocol (ReSOTS) for tracking the objects in smart logistics-based ecosystem, thereby greatly reducing the computational overheads with adequate security. The scheme is formally analyzed and validated under RoR-based random oracle model. The performance results indicate promising results for the contributed scheme over the comparative studies.

Publisher

Research Square Platform LLC

Reference38 articles.

1. Golpîra, H., Khan, S. A. R., & Safaeipour, S. (2021). A review of logistics internet-of-things: Current trends and scope for future research.Journal of Industrial Information Integration,100194

2. Li, X., Gong, L., Liu, X., Jiang, F., Shi, W., Fan, L., & Xu, J. (2020). Solving the last mile problem in logistics: A mobile edge computing and blockchain-based unmanned aerial vehicle delivery system. Concurrency and Computation: Practice and Experience. e6068.

3. Ding, Y., Jin, M., Li, S., & Feng, D. (2020). Smart logistics based on the internet of things technology: an overview.International Journal of Logistics Research and Applications,1–23

4. Bander, A., & Alzahrani (2022). Azeem Irshad. An Improved IoT/RFID-Enabled Object Tracking and Authentication Scheme for Smart Logistics.Wireless Personal Communications.1–24.

5. Li, X., Niu, J., Bhuiyan, M. Z. A., Wu, F., Karuppiah, M., & Kumari, S. (2018). “A robust ECC-based provable secure authentication protocol with privacy protection for industrial internet of things,” IEEE Trans. Ind. Informat., vol. 14, no. 8, pp. 3599–3609, Aug.

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