Securing image-based document transmission in logistics and supply chain management through cheating-resistant visual cryptographic protocols

Qi Wang; John Blesswin A; T Manoranjitham; P Akilandeswari; Selva Mary G; Shubhangi Suryawanshi; Catherine Esther Karunya A; Qi Wang; John Blesswin A; T Manoranjitham; P Akilandeswari; Selva Mary G; Shubhangi Suryawanshi; Catherine Esther Karunya A

doi:10.3934/mbe.2023885

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 11: 19983-20001. doi: 10.3934/mbe.2023885

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Securing image-based document transmission in logistics and supply chain management through cheating-resistant visual cryptographic protocols

1.
Teacher's College of Beijing Union University, Beijing Union University, Beijing, China
2.
Directorate of Learning and Development, SRM Institute of Science and Technology, Kattankulathur 603203, India
3.
Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur 603203, India
4.
Department of Computer Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri 411018, India
5.
Department of Artificial Intelligence and Machine Learning, SNS College of Technology, Coimbatore 641035, India

Academic Editor: Lincoln Wood

Received: 02 September 2023 Revised: 14 October 2023 Accepted: 24 October 2023 Published: 02 November 2023

In today's digital landscape, securing multimedia visual information—specifically color images—is of critical importance across a range of sectors, including the burgeoning fields of logistics and supply chain management. Traditional Visual Cryptography (VC) schemes lay the groundwork for encrypting visual data by fragmenting a secret image into multiple shares, thereby ensuring no single share divulges the secret. Nevertheless, VC faces challenges in ascertaining the integrity of reconstructed images, especially when shares are manipulated maliciously. Existing solutions often necessitate additional shares or a trusted third party for integrity verification, thereby adding complexity and potential security risks. This paper introduces a novel Cheating-Resistant Visual Cryptographic Protocol (CRVC) for Color Images that aims to address these limitations. Utilizing self-computational models, this enhanced protocol simplifies the integrated integrity verification process, eliminating the need for extra shares. A standout feature is its capability to securely transmit meaningful shares for color images without compromising the quality of the reconstructed image as the PSNR maintains to be ∞. Experimental findings substantiate the protocol's resilience against quality degradation and its effectiveness in verifying the authenticity of the reconstructed image. This innovative approach holds promise for a wide array of applications, notably in sectors requiring secure document transmission, such as Logistics and Supply Chain Management, E-Governance, Medical and Military Applications.
- visual cryptography,
- cheating-resistant,
- integrity verification,
- color image encryption,
- logistics communication,
- security,
- self-authentication
Citation: Qi Wang, John Blesswin A, T Manoranjitham, P Akilandeswari, Selva Mary G, Shubhangi Suryawanshi, Catherine Esther Karunya A. Securing image-based document transmission in logistics and supply chain management through cheating-resistant visual cryptographic protocols[J]. Mathematical Biosciences and Engineering, 2023, 20(11): 19983-20001. doi: 10.3934/mbe.2023885

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Abstract

In today's digital landscape, securing multimedia visual information—specifically color images—is of critical importance across a range of sectors, including the burgeoning fields of logistics and supply chain management. Traditional Visual Cryptography (VC) schemes lay the groundwork for encrypting visual data by fragmenting a secret image into multiple shares, thereby ensuring no single share divulges the secret. Nevertheless, VC faces challenges in ascertaining the integrity of reconstructed images, especially when shares are manipulated maliciously. Existing solutions often necessitate additional shares or a trusted third party for integrity verification, thereby adding complexity and potential security risks. This paper introduces a novel Cheating-Resistant Visual Cryptographic Protocol (CRVC) for Color Images that aims to address these limitations. Utilizing self-computational models, this enhanced protocol simplifies the integrated integrity verification process, eliminating the need for extra shares. A standout feature is its capability to securely transmit meaningful shares for color images without compromising the quality of the reconstructed image as the PSNR maintains to be ∞. Experimental findings substantiate the protocol's resilience against quality degradation and its effectiveness in verifying the authenticity of the reconstructed image. This innovative approach holds promise for a wide array of applications, notably in sectors requiring secure document transmission, such as Logistics and Supply Chain Management, E-Governance, Medical and Military Applications.

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