XOR-based progressive visual secret sharing using generalized random grids

Chao, Her-Chang; Fan, Tzuo-Yau

doi:10.1016/j.displa.2017.05.004

Cited by 33 publications

(9 citation statements)

References 19 publications

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“…In the traditional VCS encrypts only one image, our proposed approach uses a common smart key to handle multiple secret images in video. There are limits to such previous techniques: they produce meaningless shares and are built on Boolean operations, [9,10] such as exclusive or (XOR) and bit shift operations, making it harder to physically decrypt secrets [11]. The proposed method, on the other hand, can encrypt many secret images in meaningful, physically realizable shares because it is built on the physical superimposition of transparency-printed share (smart key) on the video file corresponding to an AND function.…”

Section: Related Work 21 Visual Cryptographymentioning

confidence: 99%

Video Identification Based on Watermarking Schemes and Visual Cryptography

Wafy¹,

Zanaty²,

El-Khouly³

2022

Computer Systems Science and Engineering

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Related to the growth of data sharing on the Internet and the widespread use of digital media, multimedia security and copyright protection have become of broad interest. Visual cryptography (VC) is a method of sharing a secret image between a group of participants, where certain groups of participants are defined as qualified and may combine their share of the image to obtain the original, and certain other groups are defined as prohibited, and even if they combine knowledge of their parts, they can't obtain any information on the secret image. The visual cryptography is one of the techniques which used to transmit the secrete image under the cover picture. Human vision systems are connected to visual cryptography. The black and white image was originally used as a hidden image. In order to achieve the owner's copy right security based on visual cryptography, a watermarking algorithm is presented. We suggest an approach in this paper to hide multiple images in video by meaningful shares using one binary share. With a common share, which we refer to as a smart key, we can decrypt several images simultaneously. Depending on a given share, the smart key decrypts several hidden images. The smart key is printed on transparency and the shares are involved in video and decryption is performed by physically superimposing the transparency on the video. Using binary, grayscale, and color images, we test the proposed method.

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Section: Related Work 21 Visual Cryptographymentioning

confidence: 99%

Video Identification Based on Watermarking Schemes and Visual Cryptography

Wafy¹,

Zanaty²,

El-Khouly³

2022

Computer Systems Science and Engineering

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“…In [35], an Exclusive OR (XOR)-based Publicly Verifiable Secret Sharing (PVSS) scheme called GRGPVSS was proposed. An FEC coding scheme dubbed PATON was presented to address issues affecting the effective delivery of high-definition mobile videos such as high transmission rate, limited bandwidth, transmission errors, and throughput fluctuations [36].…”

Section: Related Studiesmentioning

confidence: 99%

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming

Gillani

Asghar

Shifa

et al. 2022

Entropy

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Mobile multimedia communication requires considerable resources such as bandwidth and efficiency to support Quality-of-Service (QoS) and user Quality-of-Experience (QoE). To increase the available bandwidth, 5G network designers have incorporated Cognitive Radio (CR), which can adjust communication parameters according to the needs of an application. The transmission errors occur in wireless networks, which, without remedial action, will result in degraded video quality. Secure transmission is also a challenge for such channels. Therefore, this paper’s innovative scheme “VQProtect” focuses on the visual quality protection of compressed videos by detecting and correcting channel errors while at the same time maintaining video end-to-end confidentiality so that the content remains unwatchable. For the purpose, a two-round secure process is implemented on selected syntax elements of the compressed H.264/AVC bitstreams. To uphold the visual quality of data affected by channel errors, a computationally efficient Forward Error Correction (FEC) method using Random Linear Block coding (with complexity of O(k(n−1)) is implemented to correct the erroneous data bits, effectively eliminating the need for retransmission. Errors affecting an average of 7–10% of the video data bits were simulated with the Gilbert–Elliot model when experimental results demonstrated that 90% of the resulting channel errors were observed to be recoverable by correctly inferring the values of erroneous bits. The proposed solution’s effectiveness over selectively encrypted and error-prone video has been validated through a range of Video Quality Assessment (VQA) metrics.

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“…Finally, this transformation leads to generate binary image of m times the size. Chao and Fan [21,22] proposed an XOR-based progressive VSS scheme. This scheme used generalized random grids for sharing the secret and recovered the secret image using XOR operator.…”

Section: Fig 1 Traditional Visual Secret Sharing Schemementioning

confidence: 99%

An Intelligent 2D Secret Share Construction using Visual Cryptography for Secure Transmission

2020

KSII TIIS

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Data Security is the most challenging area in Internet communication, where most of the secret sharing schemes are proposed for binary images. But still it lacks in providing security for data communication, especially in image transmission. Traditional visual cryptography scheme generate meaningless diwies and the reconstruction phase leads to quality degradation over the secret image. In this work, an intelligent two dimensional secret share construction scheme is proposed. A secret image is expanded into n diwies with the choice of scheme selection. By Stacking all the qualified diwies to revert the secret image without content loss and less than s* -1 shares could not reveal any information about the secret image. The experimental results emphasize that the proposed secret share scheme is highly secured for image transmission.

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XOR-based progressive visual secret sharing using generalized random grids

Cited by 33 publications

References 19 publications

Video Identification Based on Watermarking Schemes and Visual Cryptography

Video Identification Based on Watermarking Schemes and Visual Cryptography

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming

An Intelligent 2D Secret Share Construction using Visual Cryptography for Secure Transmission

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