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Updated: Sep 6, 2025

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Image Encryption Using a Spectrally Efficient Halton Logistics Tent (HaLT) Map and DNA Encoding for Secured Image

Sakshi Patel1, Thanikaiselvan Veeramalai1

  • 1School of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore 632014, India.

Entropy (Basel, Switzerland)
|June 24, 2022
PubMed
Summary

This study introduces a novel image encryption method using chaotic maps, Halton sequences, and DNA encoding for enhanced online data security. The proposed technique offers fast and robust image scrambling, outperforming existing methods against various attacks.

Keywords:
5D hyper-chaotic systemDNA computationHalton sequenceLyapunov exponent spectrumchaotic mapsimage encryptionspectral entropy

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Area of Science:

  • Computer Science
  • Cryptography
  • Information Security

Background:

  • Online security is paramount due to technological advancements.
  • Existing image encryption methods require further enhancement for robust data protection.

Purpose of the Study:

  • To propose a novel, secure, and efficient image encryption method.
  • To enhance image security using a combination of chaotic systems, Halton sequences, and DNA encoding.

Main Methods:

  • Developed a new chaotic map (HaLT map) by combining chaotic maps and Halton sequence.
  • Implemented multi-level scrambling including inter- and intra-bit scrambling.
  • Utilized a 5D hyper-chaotic map for random sequence generation and applied DNA encoding with seven operators for pixel diffusion.

Main Results:

  • The proposed method demonstrated fast encryption speeds.
  • Achieved superior encryption performance compared to state-of-the-art techniques.
  • Showcased strong resistance against various security attacks.

Conclusions:

  • The novel image encryption method provides a secure and efficient solution for protecting digital images.
  • The combination of chaotic dynamics and DNA encoding offers a promising approach for advanced cryptography.