TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Open Access Research Article

Evaluating lightweight encryption schemes for resource-constrained devices in wireless sensor networks

, * , , , ,

* Corresponding author · click or hover a name for details

pp. 1803–1812Vol. 28Issue 5-AAugust 2025DOI: 10.47974/JDMSC-2180 Crossmark XML
Received:
06 Nov 2024
Published Online:
30 Aug 2025
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2180
Pages:
1803–1812

Abstract

Given the broad selection of remote sensor systems (WSNs) over diverse divisions, it is basic to prioritize information security, particularly in situations with restricted assets. This article gives a thorough appraisal of lightweight encryption plans outlined particularly for gadgets with constrained assets that are utilized in remote sensor systems. This investigate endeavors to assess the security, execution, and fittingness of three encryption schemes—Trivium, Jump, and TINYAES—in the setting of a recreated Web of Things (IoT) situation in farming. The think about utilizes Contiki-NG as the reenactment computer program to mimic a endless agrarian setting loaded with sensor hubs situated all through the areas. Security quality, asset utilization, throughput, inactivity, usage complexity, vitality effectiveness, and strength to imperatives are all assessed by means of thorough experimentation. Besides, novel parameters are presented to encourage a comprehensive comparison, such as vitality utilization per bundle, key setup time, and parcel misfortune rate. The comes about of this consider give important bits of knowledge that can educate the choice and execution of lightweight encryption strategies to defend information transmission in remote sensor systems with constrained assets, with a particular center on rural IoT applications.

Keywords

Subject Classifications

68M01

References

[1] P. Ramadevi, S. Ayyasamy, Y. Suryaprakash, C. Anilkumar, S. Vijayakumar, and R. Sudha, “Security for wireless sensor networks using cryptography,” Meas. Sensors, vol. 29, no. May, p. 100874 (2023), doi: 10.1016/j.measen.2023.100874.
[2] C. Patel and N. Doshi, “Secure Lightweight Key Exchange Using ECC for User-Gateway Paradigm,” IEEE Trans. Comput., vol. 70, no. 11, pp. 1789–1803 (2021), doi: 10.1109/TC.2020.3026027.
[3] F. Alcaraz Velasco, J. M. Palomares, and J. Olivares, “Lightweight method of shuffling overlapped data-blocks for data integrity and security in WSNs,” Comput. Networks, vol. 199, no. September, p. 108470 (2021), doi: 10.1016/j.comnet.2021.108470.
[4] H. He, J. Zhang, J. Gu, Y. Hu, and F. Xu, “A fine-grained and lightweight data access control scheme for WSN-integrated cloud computing,” Cluster Comput., vol. 20, no. 2, pp. 1457–1472 (2017), doi: 10.1007/s10586-017-0863-y.
[5] Y. Li and Y. Tian, “A Lightweight and Secure Three-Factor Authentication Protocol With Adaptive Privacy-Preserving Property for Wireless Sensor Networks,” IEEE Syst. J., vol. 16, no. 4, pp. 6197–6208 (2022), doi: 10.1109/JSYST.2022.3152561.
[6] M. Khalifa, F. Algarni, M. Ayoub Khan, A. Ullah, and K. Aloufi, “A lightweight cryptography (LWC) framework to secure memory heap in Internet of Things,” Alexandria Eng. J., vol. 60, no. 1, pp. 1489–1497 (2021), doi: 10.1016/j.aej.2020.11.003.
[7] D. Sadhukhan, S. Ray, G. P. Biswas, M. K. Khan, and M. Dasgupta, “A lightweight remote user authentication scheme for IoT communication using elliptic curve cryptography,” J. Supercomput., vol. 77, no. 2, pp. 1114–1151 (2021), doi: 10.1007/s11227-020-03318-7.
[8] M. Saqib, B. Jasra, and A. H. Moon, “A lightweight three factor authentication framework for IoT based critical applications,” J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 9, pp. 6925–6937 (2022), doi: 10.1016/j.jksuci.2021.07.023.
[9] R. N. Wadibhasme, A. U. Chaudhari, P. Khobragade, H. D. Mehta, R. Agrawal and C. Dhule, “Detection And Prevention of Malicious Activities In Vulnerable Network Security Using Deep Learning,” 2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET), Nagpur, India, pp. 1-6 (2024), doi: 10.1109/ICICET59348.2024.10616289.
[10] N. Alsaeed, F. Nadeem, and F. Albalwy, “A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing,” Futur. Gener. Comput. Syst., vol. 151, no. June 2023, pp. 162–181 (2024), doi: 10.1016/j.future.2023.09.032.
[11] V. Rao and K. V. Prema, “A review on lightweight cryptography for Internet-of-Things based applications,” J. Ambient Intell. Humaniz. Comput., vol. 12, no. 9, pp. 8835–8857 (2021), doi: 10.1007/s12652-020-02672-x.
[12] S. Itoo, A. A. Khan, M. Ahmad, and M. J. Idrisi, “A Secure and Privacy-Preserving Lightweight Authentication and Key Exchange Algorithm for Smart Agriculture Monitoring System,” IEEE Access, vol. 11, no. April, pp. 56875–56890 (2023), doi: 10.1109/ACCESS.2023.3280542.
[13] M. Elhoseny, H. Elminir, A. Riad, and X. Yuan, “A secure data routing schema for WSN using Elliptic Curve Cryptography and homomorphic encryption,” J. King Saud Univ. - Comput. Inf. Sci., vol. 28, no. 3, pp. 262–275 (2016), doi: 10.1016/j.jksuci.2015.11.001.

Views: 241Downloads: 132Citations: 0