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Related Concept Videos

Transformers in Distribution System01:27

Transformers in Distribution System

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Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
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Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

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In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
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Types Of Transformers01:16

Types Of Transformers

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Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
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Transformation01:26

Transformation

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Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
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The Ideal Transformer

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In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
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Deconvolution01:20

Deconvolution

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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Image encryption with 6D hyperchaotic system and vision transformer autoencoder.

Alenrex Maity1, Yen-Lin Chen2, Wassim Alexan3

  • 1Department of Information Technology, Jadavpur University, Kolkata, India.

Scientific Reports
|January 14, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a fast color image encryption method using an autoencoder for compression and a 6D hyperchaotic system for security. The technique offers enhanced protection against brute-force attacks and outperforms existing methods.

Keywords:
Color image encryptionHyperchaotic systemInformation securityTrifid CipherViT autoencoder

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Area of Science:

  • Computer Science
  • Cryptography
  • Image Processing

Background:

  • Traditional image encryption methods face challenges in balancing speed and security.
  • The need for robust and efficient encryption techniques for digital images is growing.

Purpose of the Study:

  • To propose a novel, fast, and secure color image encryption method.
  • To enhance image security using a combination of autoencoder compression and a 6D hyperchaotic system.

Main Methods:

  • Image compression using a Vision Transformer Autoencoder.
  • Initialization of a 6D hyperchaotic system using a hash value of the original image.
  • Scrambling and diffusion using chaotic sequences and the Trifid Cipher transformation.

Main Results:

  • Achieved high average entropy (7.9986) and near-zero correlation coefficient (≈0.00004).
  • Demonstrated strong key sensitivity with NPCR (99.6110%) and UACI (33.4637%).
  • The large key space ensures resistance against brute-force attacks.

Conclusions:

  • The proposed method offers a significant improvement in speed and security over state-of-the-art techniques.
  • The integration of autoencoders and hyperchaotic systems provides a robust framework for image encryption.