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A Secure Lightweight Three-Factor Authentication Scheme for IoT in Cloud Computing Environment.

SungJin Yu1, KiSung Park1, YoungHo Park2

  • 1School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea.

Sensors (Basel, Switzerland)
|August 22, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a secure three-factor authentication scheme for the Internet of Things (IoT) in cloud computing. The proposed method enhances security against various attacks, ensuring anonymity and mutual authentication for IoT services.

Keywords:
AVISPABurrows–Abadi–Needham logicauthenticationcloud computingformal security analysisinternet of things

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Cloud Computing

Background:

  • The Internet of Things (IoT) enables access to services across diverse environments like smart homes and healthcare.
  • Transmitting sensitive data over open channels in IoT environments poses significant security risks, necessitating robust authentication.
  • Existing IoT authentication schemes, such as Pelaez et al.'s (2019), may be vulnerable to impersonation, session key disclosure, and replay attacks.

Purpose of the Study:

  • To propose a novel, secure, and lightweight three-factor authentication scheme for IoT environments within cloud computing.
  • To address the security vulnerabilities identified in previous IoT authentication schemes, including lack of mutual authentication and anonymity.
  • To enhance the security and efficiency of authentication for IoT services in cloud-based systems.

Main Methods:

  • Development of a three-factor authentication scheme incorporating secret parameters and biometric data.
  • Security analysis using Burrows-Abadi-Needham (BAN) logic to verify mutual authentication.
  • Validation of resistance against replay and man-in-the-middle attacks using the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool.
  • Comparative performance and security analysis against existing IoT authentication schemes.

Main Results:

  • The proposed scheme effectively prevents impersonation, session key disclosure, replay, and man-in-the-middle attacks.
  • Demonstrated secure mutual authentication and anonymity through BAN logic and AVISPA simulations.
  • The scheme offers enhanced security and efficiency compared to existing lightweight IoT authentication solutions.

Conclusions:

  • The proposed three-factor authentication scheme provides a robust and secure solution for IoT in cloud computing environments.
  • The scheme's ability to withstand various attacks and ensure user anonymity makes it suitable for practical IoT applications.
  • This research contributes to the development of more secure and efficient authentication mechanisms for the growing IoT ecosystem.