A Novel Lightweight Algorithm for IoT Data in Cold Chain Applications


  • Divya James Assistant Professor, Department of Information Technology, Rajagiri School of Engineering & Technology, Kochi, Kerala, India
  • T. K. S. Lakshmi Priya Adjunct faculty, Sardar Vallabhbhai Patel international school of textiles and management Coimbatore, Tamil Nadu, India.
  • Yaseen Mohemed Department of Information Technology, Rajagiri School of Engineering & Technology, Kochi, Kerala, India


Lightweight Cryptography, Dynamic S-Box, IoT, Security, ColdChain


Supply Chain Management (SCM) involves the coordination and management of various interconnected activities and processes across different organizations and functions within a supply chain. Effective supply chain management activities depend on extensive data handling, continuous tracking and monitoring, and reliable business transactions. There are several fundamental issues in supply chain management, particularly in temperature-controlled supply chains or "cold chain networks." Environment-related factors like temperature and humidity levels can have an impact on the supply chain's operational or business environment. The integrity and auditability of the supply chain may be impacted by security risks in the cold chain network. For cold-chain applications, our suggested architecture offers data in real-time gathering at the user-end, and secure communications. To address the concern of secure transactions within the supply chain management entities, our proposed architecture employs a novel dynamic key dependent cryptographic algorithm. The integrity of the sensor data gathered by the IoT devices are guaranteed by this method. By using cryptographic techniques, the architecture provides a secure and tamper-resistant communication channel for transmitting the sensor data to the cloud. Encryption of IoT data using these algorithms can contribute to the secure transmission of data of cold chain applications. The performance analysis has been done on average encryption time, decryption time, throughput, and memory consumption.


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How to Cite

James, D. ., Priya, T. K. S. L. ., & Mohemed, Y. . (2024). A Novel Lightweight Algorithm for IoT Data in Cold Chain Applications. International Journal of Intelligent Systems and Applications in Engineering, 12(16s), 384–388. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4850



Research Article