Next Gen Security for WSNs: A Lightweight ECC Authentication Model
Abstract
Wireless Sensor Networks (WSNs) are widely used for monitoring and data collection in resource-constrained environments such as healthcare, agriculture, and surveillance. However, these networks face major challenges related to security, energy consumption, and network congestion. Traditional cryptographic techniques often require large computational power, which increases delay and reduces network lifetime. To overcome these issues, an enhanced authentication scheme based on Elliptic Curve
Cryptography (ECC) and Digital Signature Algorithm (DSA) is proposed. The Enhanced Authentication Elliptic Curve Cryptography (EAECC) approach improves security while
minimizing computational overhead, bandwidth usage, and energy consumption. Experimental results show that the proposed method performs better than traditional methods like RSA in terms of throughput, encryption time, and decryption time, making it suitable for secure and efficient WSN applications.
References
S. Jegadeesan, M. Azees, N. Ramesh Babu, U. Subramaniam, and J. D. Almakhles, “Efficient privacy preserving anonymous mutual authentication scheme for wireless body area networks (WBANs),” IEEE Access, vol. 8, pp. 48576–48586, 2020.
“Wireless Sensor Networks Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021–2026),” Mordor Intelligence, 2021. [Online]. Available:
https://www.mordorintelligence.com
R. A. Hamid et al., “How smart is e-tourism? A systematic review of smart tourism
recommendation systems,” Comput. Sci. Rev., vol. 39, p. 100337, 2021.
A. S. Albahri et al., “Artificial neural network and structural equation modelling: A review,” Chaos, Solitons Fractals, vol. 153, p. 111445, 2021.
M. Khan, K. Upreti, M. Alam, H. Khan, S. Siddiqui, and M. Haque, “Analysis of elliptic curve cryptography and RSA,” J. ICT Standardization, 2023.
K. Annamraju, “Applications of elliptic curve cryptography in secure communications,” SSRN, Mar. 2024. [Online]. Available: https://ssrn.com/abstract=4932269
H. Luo, G. Wen, and J. Su, “Lightweight three-factor scheme for realtime data access in wireless sensor networks,” Wireless Netw., vol. 26, no. 2, pp. 955–970, 2020.
R. Ahmad, R. Wazirali, and T. Abu-Ain, “Machine learning for wireless sensor networks security: Challenges and issues,” Sensors, vol. 22, no. 13, p. 4730, 2022. [9] M. T. Singh, N.
Shrivastav, and H. P. Tripathi, “Survey of wireless sensor networks,” 2022.
N. Temene, C. Sergiou, C. Georgiou, et al., “A survey on mobility in wireless sensor networks,” Ad Hoc Netw., vol. 125, p. 102726, 2022.
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