IoT security cryptographic solutions for trustworthy wireless sensor networks

Motwani, Dilip; Chitre, Vidya; Bhosale, Varsha; Israni, Mukesh; Sonawane, Swapnil; Nerurkar, Amit

doi:10.47974/JDMSC-1982

Open Access Research Article

IoT security cryptographic solutions for trustworthy wireless sensor networks

Dilip Motwanidilip.motwani@vit.edu.inDepartment of Information TechnologyWadalaVidyalankar Institute of TechnologyMumbai, Maharashtra, IndiaView full profile → , ^*Vidya ChitreCorresponding authorvidya.chitre@vit.edu.inDepartment of Information TechnologyWadalaVidyalankar Institute of TechnologyMumbai, Maharashtra, IndiaView full profile → , Varsha Bhosalevarsha.bhisale@vit.edu.inDepartment of Information TechnologyWadalaVidyalankar Institute of TechnologyMumbai, Maharashtra, IndiaView full profile → , Mukesh Israniisrani_mukesh2002@yahoo.comDepartment of Information TechnologyThedomal Sahani College of EngineeringBandra, Maharashtra, IndiaView full profile → , Swapnil Sonawaneswapnil.Sonawane@vit.edu.inDepartment of Computer EngineeringWadalaVidyalankar Institute of TechnologyMumbai, Maharashtra, IndiaView full profile → , Amit Nerurkaramit.nerurkar@vit.edu.inDepartment of Computer EngineeringWadalaVidyalankar Institute of TechnologyMumbai, Maharashtra, IndiaView full profile →

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pp. 1283–1294Vol. 27Issue 4June 2024DOI: 10.47974/JDMSC-1982 Crossmark XML

Published Online:: 26 Jun 2024
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-1982
Pages:: 1283–1294

Abstract

The increasing incorporation of wireless sensor networks into the Internet of Things (IoT) has revealed substantial security obstacles. This research paper examines the crucial field of IoT security and introduces a novel cryptographic solution to improve the reliability of wireless sensor networks. The proposed hybrid method of ELGamal + AES (EL-AES) as an innovative approach that synergistically combines the advantages of ELGamal and AES encryption techniques to protect IoT data. The presented study aims to assess the effectiveness of E-AES in enhancing security by comparing it to two commonly used cryptographic techniques Elliptic Curve Cryptography (ECC) and Advanced Encryption Standard (AES). This paper thoroughly examines the capabilities of these cryptographic approaches by conducting a comprehensive assessment using six key evaluation parameters: Throughput, Latency, Resource Utilization, Response Time, Efficiency, and Load Handling. The findings of the work indicate that the EL-AES method surpasses both ECC and AES in all evaluation parameters, highlighting its superior capability in ensuring IoT security. The EL-AES algorithm provides both enhanced security and impressive efficiency, making it a highly promising cryptographic solution for IoT applications that require strong data protection while operating under limited resources. This study adds to the current discussion on IoT security and establishes the EL-AES method as a reliable cryptographic solution for safeguarding wireless sensor networks in the growing IoT environment.

Keywords

IoT security Lightweight ECC AES ELGamal WSN

Subject Classifications

Primary 93A30Secondary 49K15

References

[1] S. Abed, R. Jaffal, B. J. Mohd, and M. Al-Shayeji, “An analysis and evaluation of lightweight hash functions for blockchain-based IoT devices,” Cluster Comput., vol. 24, no. 4, pp. 3065–3084 (2021), doi: 10.1007/s10586-021-03324-1.
[2] M. A. F. Al-Husainy, B. Al-Shargabi, and S. Aljawarneh, “Lightweight cryptography system for IoT devices using DNA,” Comput. Electr. Eng., vol. 95, no. August 2020, p. 107418 (2021), doi: 10.1016/j.compeleceng.2021.107418.
[3] S. Cherbal, A. Zier, S. Hebal, L. Louail, and B. Annane, Security in internet of things: a review on approaches based on blockchain, machine learning, cryptography, and quantum computing, no. 0123456789. Springer US, (2023).
[4] Kumar, Ankit, Pankaj Dadheech, Vijander Singh, Ramesh C. Poonia, and Linesh Raja. “An improved quantum key distribution protocol for verification.” Journal of Discrete Mathematical Sciences and Cryptography 22, no. 4, 491-498 (2019).
[5] Kumar, Ankit, Pankaj Dadheech, Vijander Singh, Linesh Raja, and Ramesh C. Poonia. “An enhanced quantum key distribution protocol for security authentication.” Journal of Discrete Mathematical Sciences and Cryptography 22, no. 4, 499-507 (2019).
[6] F. Thabit, O. Can, A. O. Aljahdali, G. H. Al-Gaphari, and H. A. Alkhzaimi, “Cryptography Algorithms for Enhancing IoT Security,” Internet of Things (Netherlands), vol. 22, no. March, p. 100759 (2023), doi: 10.1016/j.iot.2023.100759.
[7] A. Subashini and P. Kanaka Raju, “Hybrid AES model with elliptic curve and ID based key generation for IOT in telemedicine,” Meas. Sensors, vol. 28, no. May, p. 100824 (2023), doi: 10.1016/j.measen.2023.100824.
[8] 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.
[9] R. Aiyshwariya Devi and A. R. Arunachalam, “Enhancement of IoT device security using an Improved Elliptic Curve Cryptography algorithm and malware detection utilizing deep LSTM,” High-Confidence Comput., vol. 3, no. 2, p. 100117 (2023), doi: 10.1016/j.hcc.2023.100117.
[10] C. A. Lara-Nino, A. Diaz-Perez, and M. Morales-Sandoval, “Lightweight elliptic curve cryptography accelerator for internet of things applications,” Ad Hoc Networks, vol. 103, p. 102159 (2020), doi: 10.1016/j.adhoc.2020.102159.
[11] M. Rana, Q. Mamun, and R. Islam, “Lightweight cryptography in IoT networks: A survey,” Futur. Gener. Comput. Syst., vol. 129, pp. 77–89 (2022), doi: 10.1016/j.future.2021.11.011.
[12] 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.
[13] 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.
[14] 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.
[15] C. Patel, A. K. Bashir, A. A. AlZubi, and R. Jhaveri, “EBAKE-SE: A novel ECC-based authenticated key exchange between industrial IoT devices using secure element,” Digit. Commun. Networks, vol. 9, no. 2, pp. 358–366, 2023, doi: 10.1016/j.dcan.2022.11.001.
[16] U. Ali et al., “Enhanced lightweight and secure certificateless authentication scheme (ELWSCAS) for Internet of Things environment,” Internet of Things (Netherlands), vol. 24, no. September, p. 100923 (2023), doi: 10.1016/j.iot.2023.100923.

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