TEJAS Journal of Technologies and Humanitarian Science

Jasvant Kumar
Department of Computer Science and Engineering, Faculty of Engineering and Technology, University of Lucknow, Lucknow, India

Author

Chandrajeet Yadav
Department of Computer Science and Engineering, Faculty of Engineering and Technology, Dr Shakuntla Misra National Rehabilitation University, Lucknow, India

Author

Hanuman Maurya
Department of Computer Science and Engineering Institute of f Engineering and Technology, Lucknow, India

Author

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Abstract:

In the digital age, safeguarding sensitive visual data is a critical challenge due to its widespread use and the severe implications of unauthorized access. Visual Secret Sharing (VSS) schemes offer a robust solution by dividing a secret image into multiple, seemingly random shares that reveal no information individually. Only when a predefined number of shares are combined can the original image be reconstructed, ensuring privacy without reliance on complex computational decryption. Introduced by Naor and Shamir, VSS has evolved to support diverse applications, including secure document sharing, biometric authentication, and digital watermarking. This paper explores the principles, advancements, and practical implementations of VSS, highlighting its strengths—such as human-centric decryption and high security—and addressing limitations like pixel expansion and contrast loss. By examining its role in privacy protection across sectors like healthcare, finance, and e-voting, we demonstrate VSS’s potential as a versatile tool for securing visual data in an interconnected world, while identifying future directions for enhancing its efficiency and scalability.

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