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Related Concept Videos

Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Image adaptive encryption using EfficientNet B3 feature guided multi scroll chaotic map with modulo controlled pseudo

S Subathra1, V Thanikaiselvan2

  • 1School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

Scientific Reports
|December 6, 2025
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Summary
This summary is machine-generated.

This study introduces a novel multistage encryption algorithm combining deep neural networks and chaotic maps for secure image transmission. The new method significantly enhances security and robustness against various attacks.

Keywords:
Bidirectional selective confusionChaotic intra/inter pixel diffusionDynamic DNA codingEfficientNet-B3Image encryptionKey generation

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Area of Science:

  • Cryptography
  • Computer Science
  • Information Security

Background:

  • Secure image transmission is crucial in open channels.
  • Existing encryption methods face challenges in efficiency and security against advanced attacks.

Purpose of the Study:

  • To propose a novel multistage encryption algorithm for enhanced image transmission security.
  • To improve efficiency and robustness against differential and statistical attacks.

Main Methods:

  • Integration of deep neural networks (EfficientNet-B3) and a 4D multi-scroll chaotic map.
  • Image adaptive key generation using SHA 256 hash values for chaotic sequence generation.
  • Pseudo-parallel processing with bidirectional selective shuffling and chaotic diffusion techniques.

Main Results:

  • Achieved a large key space (2^674) and high key sensitivity.
  • Demonstrated strong avalanche effect with high NPCR (99.9%) and UACI (33.46%) values.
  • Exhibited robustness against differential, statistical, cropping, and noise attacks with near-zero pixel correlation.

Conclusions:

  • The proposed algorithm offers superior security and efficiency for image transmission.
  • The integration of deep learning and chaotic systems provides a robust encryption framework.
  • The method effectively addresses the security vulnerabilities in open channel communications.