Affiliations 

  • 1 Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Sydney 2007, Australia
  • 2 School of Interdisciplinary Engineering & Sciences (SINES) NUST, Islamabad 44000, Pakistan
  • 3 Department of Computer Science and Software Engineering, International Islamic University, Islamabad 44000, Pakistan
  • 4 Department of Computer Science, National University of Modern Languages (NUML), Islamabad 44000, Pakistan
  • 5 School of Computer Science SCS, Taylor's University, Subang Jaya 47500, Malaysia
  • 6 Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Sensors (Basel), 2023 Jul 02;23(13).
PMID: 37447952 DOI: 10.3390/s23136104

Abstract

Programmable Object Interfaces are increasingly intriguing researchers because of their broader applications, especially in the medical field. In a Wireless Body Area Network (WBAN), for example, patients' health can be monitored using clinical nano sensors. Exchanging such sensitive data requires a high level of security and protection against attacks. To that end, the literature is rich with security schemes that include the advanced encryption standard, secure hashing algorithm, and digital signatures that aim to secure the data exchange. However, such schemes elevate the time complexity, rendering the data transmission slower. Cognitive radio technology with a medical body area network system involves communication links between WBAN gateways, server and nano sensors, which renders the entire system vulnerable to security attacks. In this paper, a novel DNA-based encryption technique is proposed to secure medical data sharing between sensing devices and central repositories. It has less computational time throughout authentication, encryption, and decryption. Our analysis of experimental attack scenarios shows that our technique is better than its counterparts.

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