Efficient Cryptographic Method in Wireless Sensor Networks for Iot Healthcare System

Authors

  • Sangeetha Komandur, Sameena Shaik

Keywords:

Datasets, Internet of Things (IoT), EP, Decryption(DP), WSNs, Key

Abstract

The open, large-scale, as well as resource-constrained atmosphere of wireless sensor networks (WSNs) continues to pose important issues in relations of efficiency, energy consumption as well as security. The security as well as effectiveness of WSNs may be enhanced with the help of several lightweight cryptographic algorithms that use reasonable amounts of energy and resources. Nevertheless, there are still issues with their adaptability, authentication, Key Management(KM) along with power resource management procedures. This study presents lightCrypt, an automated LightWeight Cryptographic(LWC) system for WSNs, which aims to solve these concerns. The proposed strategy proposes a flexible, LWC approach to regulate the difficulty of the encryption(EP) by automatically selecting cryptographic parameters depending on the current resource availability of individually sensor node to encrypt the data. To further ensure safe communication and key/data sharing across WSN nodes, a novel lightweight KM as well as authentication mechanism is developed. An evaluation of the proposed lightCrypt scheme was conducted. In comparison to alternative cyphers that employ set EP parameters, the findings show that the proposed technique significantly improves throughput, EP time, packet delivery ratio along with end to end delay. The lightCrypt system is secure and can withstand brute-force, eavesdropping, man-in-the-middle as well as replay attacks, according to the security study.

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Published

24.03.2024

How to Cite

Sangeetha Komandur. (2024). Efficient Cryptographic Method in Wireless Sensor Networks for Iot Healthcare System. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 2861–2867. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5796

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Section

Research Article