A QR code-based user-friendly visual cryptography scheme

Ren, Lijing; Zhang, Denghui

doi:10.1038/s41598-022-11871-9

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…But traditional cryptography sufered from two limitations. First, the generated shares were random and meaningless [17]. It becomes difcult to manage random shares.…”

Section: Extended Visual Cryptographymentioning

confidence: 99%

Privacy Protection of Digital Images Using Watermarking and QR Code-based Visual Cryptography

Arora

Garg

Shivani

2023

Advances in Multimedia

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The increase in information sharing in terms of digital images imposes threats to privacy and personal identity. Digital images can be stolen while in transfer and any kind of alteration can be done very easily. Thus, privacy protection of digital images from attackers becomes very important. Encryption, steganography, watermarking, and visual cryptography techniques to protect digital images have been proposed from time to time. The present paper is focused on the enhancement of privacy protection of digital images utilizing watermarking and a QR code-based expansion-free and meaningful visual cryptography approach which generates visually appealing QR codes for transmitting meaningful shares. The original secret image is processed with a watermark image (copyright logo, signature, and so on), and then halftoning of the watermarked image has been done to limit pixel expansion. Then, the halftoned image has been partitioned using VC into two shares. These shares are embedded with a QR code to make the shares meaningful. Lossless compression has been performed on the QR code-based shares. The compression method employed in visual cryptography would save space and time. The proposed approach keeps the beauty of visual cryptography, i.e., computation-free decryption, and the size of the recovered image the same as the original secret image. The experimental results confirm the effectiveness of the proposed approach.

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“…But traditional cryptography sufered from two limitations. First, the generated shares were random and meaningless [17]. It becomes difcult to manage random shares.…”

Section: Extended Visual Cryptographymentioning

confidence: 99%

Privacy Protection of Digital Images Using Watermarking and QR Code-based Visual Cryptography

Arora

Garg

Shivani

2023

Advances in Multimedia

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“…Although high-quality VCS can be realized by using XOR operation and QR code, it often needs additional noise shares [ 23 ]. The size of standard QR codes and the capacity of error correction codes are limited, which cannot meet the needs of image transmission [ 25 ].…”

Section: Related Workmentioning

confidence: 99%

A New Data Model for the Privacy Protection of Medical Images

Ren

Zhang

2022

Computational Intelligence and Neuroscience

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Benefiting from the intelligent Medical Internet of Things (IoMT), the medical industry has dramatically improved its quality and productivity. The transmission of biomedical data in an open and untrusted network poses a new challenge to the privacy protection of patient information. The low processing power of IoMT limited the application of traditional encryption to protect sensitive data. In this paper, we developed a new data protection model for medical images. The model uses visual cryptography (VC) to store biomedical data in a separate database, which can transfer the sensitive data of patients simply and securely. To alleviate the degradation of biomedical recognition performance caused by VC-based noise, we further use transfer learning to train an optimized neural network. The experimental results show that this proposed method provides privacy in the IoMT environment and maintains the high accuracy of biomedical recognition.

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“…[97][98][99] Active research is going on developing lattice cryptography, multivariate cryptography, code-based cryptography, supersingular isogeny key exchange protocol, and symmetric key systems like AES and SNOW-3G. [100][101][102][103][104] Campagna recently postulated that there will be three main questions about the number of years needed to fulfill our health sector needs: (a) Our encryption to be secure; (b) to make our IT infrastructure quantum-safe; and (c) before a large-scale quantum computer will be built. 105 The physical hardware required to build qubits includes transmons and superconductivity traps, and we will also need insights into cavity quantum electrodynamics.…”

Section: Future Possibilitiesmentioning

confidence: 99%

Quantum Cryptography for Securing Personal Health Information in Hospitals

Maheshwari¹,

Mantry²

2022

Newborn

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Healthcare systems widely use information technology (IT) for system authentication (digital signatures), web surfing, e-mails, instant messaging, protecting data at rest, Voice over Internet Protocol (VoIP) telephony, and cellular telephony. To protect patient identification and healthcare information, cryptographic systems are widely used to secure these data from malicious third parties (adversaries). In our healthcare systems, we have had reasonable success in the efficient storage of the information of our patients and their families, in its timely retrieval, and in ensuring its safety from adversaries. However, the data are increasing rapidly and our current computational systems could be inadequate in the not-sodistant future. In this context, there is a need for novel solutions. One possibility can be seen in quantum computing (QC) algorithms/devices that can provide elegant solutions based on subatomic interactions. In this review, we have summarized current information on the need, current options, and future possibilities for the use of QC algorithms/devices in large data systems such as healthcare. This article combines peerreviewed evidence from our own clinical studies with the results of an extensive literature search in the databases PubMed, EMBASE, and Scopus.

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A QR code-based user-friendly visual cryptography scheme

Cited by 6 publications

References 20 publications

Privacy Protection of Digital Images Using Watermarking and QR Code-based Visual Cryptography

Privacy Protection of Digital Images Using Watermarking and QR Code-based Visual Cryptography

A New Data Model for the Privacy Protection of Medical Images

Quantum Cryptography for Securing Personal Health Information in Hospitals

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