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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64725

QUANTUM VISUAL CRYPTOGRAPHIC SYSTEM FOR SECURE DIGITAL IMAGE PROTECTION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64725

Volume:

10 |

6 |

Jun 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64725

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KSP

Kaipa Sai Pranav

Department of Computer Science

Godavari Institute of Engineering and Technology

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Mentors

PSK

P. Sasi Kumar

Department of Computer Science

Godavari Institute of Engineering and Technology

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Abstract

The rapid growth of digital communication has increased the need for secure image transmission and storage mechanisms. Traditional encryption techniques provide security but may become vulnerable with the advancement of computational technologies. This project presents a Quantum Visual Cryptography System that integrates quantum computing concepts with image encryption to enhance data confidentiality and protection. The proposed system generates a random cryptographic key using quantum circuits implemented through Qiskit and the Aer Simulator. The generated quantum key is further processed using the SHA-256 hashing algorithm to produce a secure key stream. During encryption, the original image is divided into cryptographic shares using visual cryptography principles and XOR-based operations. One share is generated randomly, while the second share is created using the original image, the random share, and the quantum-derived key stream. The encrypted shares are stored separately, ensuring that the original image cannot be reconstructed without both shares and the correct quantum key. For decryption, the authorized user provides the quantum key, which is expanded and combined with the encrypted shares to recover the original image. The system also includes a graphical user interface developed using Python Tkinter for user interaction and performance analysis through execution time visualization. The proposed approach demonstrates how quantum-generated randomness can be integrated with visual cryptography techniques to improve image security. The system provides confidentiality, secure key management, and efficient image reconstruction, making it suitable for secure multimedia communication and digital image protection applications.

KEYWORDS

Quantum Computing Visual Cryptography Image Encryption Quantum Key Generation Qiskit SHA-256 XOR Encryption Image Security Secure Image Transmission Multimedia Data Protection.

Cite This Article

Kaipa Sai Pranav, P. Sasi Kumar, "QUANTUM VISUAL CRYPTOGRAPHIC SYSTEM FOR SECURE DIGITAL IMAGE PROTECTION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-5, Jun 2026. https://doi.org/10.55041/IJSREM64725

Full Article/Conclusion

In this project, a Quantum Visual Cryptography System was created to ensure secure encryption and decryption of images. The system uses quantum-based key generation, SHA-256 hashing, XOR encryption, and visual cryptography methods to increase the security of digital images. By combining these technologies, the approach provides multiple levels of protection against unauthorized access. The implementation successfully encrypted images, created secure cryptographic shares, and accurately restored the original image during decryption using the correct quantum key. The encrypted image and shares did not contain any meaningful data on their own, thus improving the confidentiality of the information. The experimental results show that the system achieves a good balance between security and efficiency while preserving image quality during reconstruction. The use of quantum-inspired randomness makes the encryption process more robust and greatly reduces the possibility of predicting the key. Overall, the system offers a dependable and effective method for securely storing and transmitting images. The project demonstrates the potential of merging quantum computing ideas with visual cryptography for modern cybersecurity applications. Future improvements could involve real-time image processing, cloud integration, and more advanced quantum algorithms to further boost security and performance.

References

1.      A JB, Raj C, Sukumaran R, G SM (2019) Enhanced semantic visual secret sharing scheme for the secure image communication. 79(23-24), 17057–17079. 2.      Abraham AS, Nair LR, Deepa MS (2017) A novel method for evaluation of visual security of images. In: 2017 International Conference on Networks & Advances in Computational Technologies (NetACT). IEEE 3.      Al-Khalid RI, Al-Dallah RA, Al-Anani AM, Barham RM, Hajir SI (2017) A secure visual cryptography scheme using private key with invariant share sizes. J Softw Eng Appl 10(01):1–10.  4.      Alex NS, Anbarasi LJ (2011) Enhanced image secret sharing via error diffusion in halftone visual cryptography. In: 2011 3rd International Conference on Electronics Computer Technology. IEEE 5.      Amitharaja R, Shaik A, Thanikaise V (2016) Data security through data hiding in images: A review. J Artif Intell 10(1):1–21.  6.      Arumugam S, Lakshmanan R, Nagar AK (2012) On (k, n)∗-visual cryptography scheme. 71(1), 153–162.  7.      Askari N, Heys HM, Moloney CR (2013) An extended visual cryptography scheme without pixel expansion for halftone images. In: 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE 8.      Askari N, Heys HM, Moloney CR (2014) Novel visual cryptography schemes without pixel expansion for halftone images. Can J Electr Comput Eng 37(3):168–177 9.      Ateniese G, Blundo C, Santis AD, Stinson DR (1996) Visual cryptography for general access structures. Inf Comput 129(2):86–106.  10.   Ateniese G, Blundo C, Santis AD, Stinson DR (2001) Extended capabilities for visual cryptography. Theor Comput Sci 250(1-2):143–161

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Publication Date

6/10/2026

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