Secure transmission of grayscale images with triggered error visual sharing

John Blesswin, S. Mary, Shubhangi Suryawanshi, Vanita G. Kshirsagar, Sarika Y. Pabalkar, Mithra Venkatesan, Catherine Esther Karunya
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引用次数: 1

Abstract

In the digital era, data transfer plays a crucial role in various industries such as banking, healthcare, marketing, and social media. Images are widely used as a means of communication. The presence of cyber attackers poses a significant risk to data integrity and security during transmission. According to the cost of data breach report 2021, the healthcare industry has experienced the highest costs associated with data breaches, highlighting the need for robust security measures. Visual cryptography (VC) is a technique used to secure image data during transmission. It involves encrypting the image and dividing it into shares, which are then communicated to the intended recipients. Each individual share does not reveal any classified information. At the destination, the shares are digitally combined to reconstruct the original image. When implementing VC, several factors need to be considered, including security, computational complexity, and the quality of the reconstructed image. In this paper, a new method called progressive meaningful visual cryptography (PMVC) is proposed for transferring secret images. The PMVC method introduces an error instance that triggers meaningful shares generation. The proposed method ensures the quality of the reconstructed image by achieving a peak signal-to-noise ratio (PSNR) of up to 37 dB.
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通过触发错误视觉共享实现灰度图像的安全传输
在数字时代,数据传输在银行、医疗保健、营销和社交媒体等各个行业发挥着至关重要的作用。图像被广泛用作一种交流手段。网络攻击者的存在对传输过程中的数据完整性和安全性构成了重大风险。根据2021年数据泄露成本报告,医疗保健行业经历了与数据泄露相关的最高成本,这突出了采取强有力的安全措施的必要性。视觉密码学(VC)是一种用于在传输过程中保护图像数据的技术。它包括对图像进行加密并将其划分为多个共享,然后将这些共享传递给预定的接收者。每个单独的共享不会透露任何机密信息。在目的地,共享被数字组合以重建原始图像。在实现VC时,需要考虑几个因素,包括安全性、计算复杂性和重建图像的质量。本文提出了一种新的传输秘密图像的方法,称为渐进有意义视觉密码学(PMVC)。PMVC方法引入了一个错误实例,该实例触发有意义的共享生成。所提出的方法通过实现高达37dB的峰值信噪比(PSNR)来确保重建图像的质量。
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CiteScore
0.40
自引率
0.00%
发文量
25
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