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Design and implementation of hybrid consensus mechanism for IoT based healthcare system security.

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A lightweight security framework for electronic healthcare system.

Ravi Raushan Kumar Chaudhary1, Kakali Chatterjee1

  • 1Department of Computer Science and Engineering, National Institute of Technology Patna, Patna, Bihar 800005 India.

International Journal of Information Technology : an Official Journal of Bharati Vidyapeeth'S Institute of Computer Applications and Management
|August 1, 2022
PubMed
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This study introduces a novel lightweight security framework for electronic healthcare systems (EHS). The proposed solution enhances data security and transmission speed for Internet of Things (IoT) devices in EHS.

Keywords:
AuthenticationIoT based technologyLightweight cryptographySecurity

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Health Informatics

Background:

  • Electronic healthcare systems (EHS) leverage Internet of Things (IoT) devices for remote health monitoring and data collection.
  • Secure data transmission in EHS is challenging due to the memory and power constraints of IoT devices.
  • Traditional cryptographic methods are often too complex for resource-limited IoT devices in EHS.

Purpose of the Study:

  • To propose a lightweight security framework with a flexible key structure for securing EHS data.
  • To address the limitations of traditional cryptographic solutions in the context of EHS IoT devices.
  • To enhance the speed and efficiency of secure data transmission in EHS.

Main Methods:

  • Development of a novel lightweight ciphering mechanism tailored for EHS.
  • Implementation of a flexible key structure within the security framework.
  • Security analysis using the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool.

Main Results:

  • The proposed lightweight security framework demonstrated a minimum speed increase of 4x compared to existing literature.
  • Experimental analysis confirmed a low computational and communicational load for the proposed technique.
  • Security analysis indicated that the proposed scheme is resilient against various network attacks.

Conclusions:

  • The developed lightweight security framework effectively protects data in EHS.
  • The proposed scheme offers a viable and efficient solution for securing data in resource-constrained IoT devices within EHS.
  • The framework provides robust security against network attacks, making it suitable for EHS applications.