Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Feb 27, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.7K

Ciphertext-Only Attack on Grayscale-Based EtC Image Encryption via Component Separation and Regularized

Ruifeng Li1, Masaaki Fujiyoshi1

  • 1Department of Computer Science, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino 191-0065, Tokyo, Japan.

Journal of Imaging
|February 26, 2026
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Convolution Properties II01:17

Convolution Properties II

621
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
621
Separable Differential Equations01:20

Separable Differential Equations

163
A separable differential equation is a type of first-order differential equation where the derivative dy/dx can be expressed as a product of two functions: one that depends only on x and another that depends only on y. This allows for the rearrangement of the equation so that all terms involving y are on one side, and all terms involving x are on the other. This process, known as the separation of variables, simplifies the process of solving the equation by enabling the integration of both...
163
Convolution Properties I01:20

Convolution Properties I

638
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
638
Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

20.2K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
20.2K
Differential Staining Technique01:26

Differential Staining Technique

2.6K
Differential staining is an essential microbiological technique that exploits variations in cell wall structures to classify and identify microorganisms. It facilitates the distinction of bacteria, aiding in diagnostic and research applications. Two of the most widely used differential staining methods are Gram staining and acid-fast staining, both of which rely on the chemical and structural differences in bacterial cell walls.Gram Staining TechniqueGram staining differentiates bacteria by...
2.6K
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

1.0K
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
1.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026
Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026
Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026
Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026
Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026
Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026
See all related articles

This study presents a novel ciphertext-only attack against grayscale-based Encryption-then-Compression (EtC) systems. The new method effectively reconstructs visual content, challenging the perceived security of these image encryption techniques.

Area of Science:

  • Digital Image Forensics
  • Information Security
  • Computer Vision

Background:

  • Grayscale-based Encryption-then-Compression (EtC) systems convert RGB images to YCbCr, merge components, and apply transformations.
  • Existing Jigsaw Puzzle Solvers (JPSs) are ineffective against these systems due to component separation.
  • Grayscale EtC was considered secure against ciphertext-only visual reconstruction.

Purpose of the Study:

  • To develop a practical ciphertext-only attack against grayscale-based EtC systems.
  • To demonstrate a vulnerability in grayscale-based EtC systems previously thought secure.
  • To re-evaluate the security of grayscale-based EtC.

Main Methods:

  • Texture-Based Component Classification (TBCC) to identify Y, Cb/Cr blocks and focus on high-texture areas.
Keywords:
Encryption-then-Compression (EtC)ciphertext-only attackgrayscale-based image encryptionjigsaw puzzle solverluminance component separationregularized Mahalanobis compatibilitysecurity evaluation

More Related Videos

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
06:41

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

Published on: March 9, 2015

9.5K
Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

18.2K

Related Experiment Videos

Last Updated: Feb 27, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.7K
A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
06:41

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

Published on: March 9, 2015

9.5K
Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

18.2K
  • Regularized Single-Channel Edge Compatibility (R-SCEC) using Tikhonov regularization for robustness.
  • Adaptive Pruning to optimize the search space and improve reconstruction efficiency.

    • Main Results:

    • The proposed attack successfully reconstructs visually recognizable semantic content.
    • The attack is effective even when existing extended JPS solvers fail.
    • Demonstrates a significant vulnerability in grayscale-based EtC systems.

    Conclusions:

    • Grayscale-based EtC systems are vulnerable to ciphertext-only visual reconstruction attacks.
    • The developed attack highlights the need for re-evaluating the security of these systems.
    • New methods are required to ensure the security of image encryption techniques.