Affiliations:
Department of Data Systems and Networks, Faculty of Information Technology, World Islamic Sciences and Education University, Amman, Jordan
The security of the Internet of Things (IoT) has become a major research concern, particularly in the perception layer where wireless sensor networks (WSNs) operate and generate large amounts of data. Without encryption, transmitted data in WSN-IoT networks is vulnerable to security attacks. Conventional methods that decrypt, aggregate, and re-encrypt data consume excessive energy at the aggregator and increase end-to-end delay. To address these issues, this study proposes a secure data aggregation scheme based on end-to-end elliptic curve and homomorphic encryption (EEECHE). The scheme ensures data confidentiality from nodes to the server while minimizing energy consumption and latency. It also applies a message authentication code (MAC) to verify data authenticity and detect false data efficiently. Experimental results show that the proposed scheme achieves stronger security with lower energy usage and end-to-end delay compared to cluster-based semi-homomorphic encryption aggregated data (CSHEAD) and cluster-based secure data aggregation (CSDA).
Internet of Things, Wireless sensor networks, Data aggregation, Homomorphic encryption, Message authentication
https://doi.org/10.21833/ijaas.2025.12.023
Adawy, M. I. (2025). Secure WSN-IoT using end-to-end elliptic curve and homomorphic encryption. International Journal of Advanced and Applied Sciences, 12(12), 253–265. https://doi.org/10.21833/ijaas.2025.12.023