Affiliations 

  • 1 School of Interdisciplinary Engineering & Sciences (SINES) NUST, Islamabad 44000, Pakistan
  • 2 Department of Computer Science and Software Engineering, International Islamic University, Islamabad 44000, Pakistan
  • 3 School of Computer Science, SCS Taylor's University, Subang Jaya 47500, Malaysia
  • 4 Department of Software Engineering, Faculty of Engineering, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada
  • 5 Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
Sensors (Basel), 2023 May 25;23(11).
PMID: 37299782 DOI: 10.3390/s23115055

Abstract

The Internet of Things (IoT) uses wireless networks without infrastructure to install a huge number of wireless sensors that track system, physical, and environmental factors. There are a variety of WSN uses, and some well-known application factors include energy consumption and lifespan duration for routing purposes. The sensors have detecting, processing, and communication capabilities. In this paper, an intelligent healthcare system is proposed which consists of nano sensors that collect real-time health status and transfer it to the doctor's server. Time consumption and various attacks are major concerns, and some existing techniques contain stumbling blocks. Therefore, in this research, a genetic-based encryption method is advocated to protect data transmitted over a wireless channel using sensors to avoid an uncomfortable data transmission environment. An authentication procedure is also proposed for legitimate users to access the data channel. Results show that the proposed algorithm is lightweight and energy efficient, and time consumption is 90% lower with a higher security ratio.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.