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April 13, 2026Journal of King Saud University - Computer and Information SciencesOpen Access

Image encryption optimization algorithm based on GA-PSO and DNA convolutional code

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Authors

JTJingxi TianMLMi LiuSYShaowu Yang

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Overview

Algorithm optimizes image encryption, enhancing robustness against noise, indicating strong security benefits.

Key Points

  • To enhance image encryption security and recoverability through an optimized algorithm combining GA-PSO and DNA convolutional coding.
  • Developed a novel encryption algorithm using Genetic Algorithm-Particle Swarm Optimization (GA-PSO) and DNA convolutional code.
  • Combined GA's global search capabilities with PSO's rapid convergence for optimization.
  • Introduced error correction through DNA convolutional coding to improve robustness under noise conditions.
  • Achieved an entropy value of 7.9997, indicating high statistical randomness in encrypted images.
  • Reduced error rates by up to 50% compared to traditional methods when using DNA convolutional coding under 19% cropping conditions.

Cite This Study

Tian et al. (2026) studied this question.

synapsesocial.com/papers/69dc89473afacbeac03eb06dhttps://doi.org/10.1007/s44443-026-00728-0
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