Monitoring System Based on New Chaotic System and IoT

Authors

  • Rawia Abdulla Mohammed Department of Computer Science, University of Technology, Baghdad, Iraq https://orcid.org/0000-0002-6766-6806
  • Maisa'a Abid Ali Khodher Department of Computer Science, University of Technology, Baghdad, Iraq
  • Ashwak Alabaichi Department of Biomedical Engineering, University of Kerbala, Iraq

DOI:

https://doi.org/10.24996/ijs.2024.65.5.38

Keywords:

DNA, encryption, salsa 20, MQTT, hashing function

Abstract

The security and integrity of medical data, in particular, have become significant concerns due to the substantial expansion in the healthcare environment due to the internet of things (IoT). To guarantee data security during transmission, this research suggests a chaotic healthcare monitoring system. This system employs a new 5-dimension (5D) chaotic system in conjunction with the secure hash algorithm version three (SHA3-256), salsa 20, and deoxyribonucleic acid (DNA). Lyapunov's proposed 5D chaos system was tested and passed for several initial periods, yielding a super chaos system (3 positive Lyapunov). Salsa 20 and randomly generated chaotic keys were utilized for encryption and decryption operations. The method we created will assess a patient's body temperature, heart rate, and oxygen saturation levels in the blood and communicate the data to a healthcare center through the Message Queuing Telemetry Transport (MQTT) protocol. The suggested system ensures that patient data is transmitted via the internet or an intranet in a secure, reliable, and readily accessible manner. In several studies involving security analysis, The encryption time is 1.872, the throughput (in bits per second (bps)) is 273.2642, and the memory usage (in megabytes) is 10.6211. The performance analysis confirmed the proposed cryptosystem's capacity to withstand multiple attacks due to its low computational and communication costs and broad key space.

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Published

2024-05-30

Issue

Section

Computer Science

How to Cite

Monitoring System Based on New Chaotic System and IoT. (2024). Iraqi Journal of Science, 65(5), 2838-2852. https://doi.org/10.24996/ijs.2024.65.5.38

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