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 Videos

Cheating prevention in visual cryptography.

Chih-Ming Hu1, Wen-Guey Tzeng

  • 1Department of Computer Science, National Chiao-Tung University, Hsinchu, Taiwan 30050, R.O.C. andyhu@cs.nctu.edu.tw

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

An optimal data hiding scheme with tree-based parity check.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2010
Same author

Isolated thunderclap headache during sex: Orgasmic headache or reversible cerebral vasoconstriction syndrome?

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2010
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Semantic Frame Interpolation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

This study addresses security in visual cryptography (VC) by exploring cheating attacks and proposing a generic conversion method for cheat-preventing VC schemes. The research aims to enhance the security and reliability of image encryption methods.

Area of Science:

  • Computer Science
  • Cryptography
  • Information Security

Background:

  • Visual cryptography (VC) encrypts images into shares for reconstruction.
  • Existing VC research prioritizes pixel expansion and contrast.
  • The problem of cheating in VC schemes has not been sufficiently addressed.

Purpose of the Study:

  • To investigate cheating problems in visual cryptography.
  • To extend visual cryptography schemes to be cheat-preventing.
  • To propose a generic method for converting existing VC schemes into cheat-preventing ones.

Main Methods:

  • Studied cheating behaviors in visual cryptography.
  • Developed three cheating methods to attack existing VC schemes.
  • Improved a specific cheat-preventing scheme.

Related Experiment Videos

  • Proposed a generic conversion technique for VC schemes.

    • Main Results:

    • Demonstrated the effectiveness of three novel cheating methods.
    • Successfully improved an existing cheat-preventing scheme.
    • Developed a general approach to convert VC schemes into cheat-preventing versions.
    • The conversion method achieves near-optimal overhead in contrast and pixel expansion.

    Conclusions:

    • Cheating is a significant vulnerability in visual cryptography.
    • The proposed generic conversion method effectively enhances VC security against cheating.
    • The new method offers a practical solution for developing robust and secure visual cryptography systems.