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A lightweight encryption algorithm for resource-constrained IoT devices using quantum and chaotic techniques with

Amer Aljaedi1, Adel R Alharbi2, Abdullah Aljuhni2

  • 1College of Computing and Information Technology, University of Tabuk, Tabuk, 71491, Saudi Arabia. aaljaedi@ut.edu.sa.

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This study presents a novel lightweight encryption algorithm for the Internet of Things (IoT), utilizing quantum encryption and metaheuristic optimization. The new method enhances data security for resource-constrained devices against cyberattacks.

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Area of Science:

  • Computer Science
  • Cryptography
  • Information Security

Background:

  • The proliferation of Internet of Things (IoT) devices necessitates advanced security measures.
  • Existing encryption methods are often unsuitable for resource-constrained IoT environments.

Purpose of the Study:

  • To develop a novel, lightweight encryption algorithm for resource-constrained IoT devices.
  • To enhance data security and robustness against cyberattacks in IoT networks.

Main Methods:

  • Incorporation of quantum encryption, metaheuristic optimization, and multiple chaotic maps.
  • Application of confusion and diffusion techniques, including substitution matrices and key matrices.
  • Utilizing Discrete Wavelet Transform (DWT) for frequency sub-band extraction and substitution.

Main Results:

  • Achieved high statistical performance with an entropy of 7.9998 and correlation of 0.0001.
  • Demonstrated robustness against various cyberattacks, including noise, cropping, and brute force.
  • The proposed algorithm offers a significant key space, ensuring strong cryptographic security.

Conclusions:

  • The novel lightweight encryption algorithm effectively addresses the security challenges in resource-constrained IoT environments.
  • The integration of quantum encryption, DWT, and chaotic maps provides a robust and efficient solution for IoT data security.