Topic
Visual cryptography
About: Visual cryptography is a research topic. Over the lifetime, 1724 publications have been published within this topic receiving 25300 citations.
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01 Jan 2001
TL;DR: This paper presents a visual cryptography scheme (VCS) for a set P of n participants that encodes a secret image into n shadow images called shares each of which is given to a distinct participant.
Abstract: Visual cryptography schemes have been introduced in 1994 by Naor and Shamir as a mean to share images among a given group of participants. A visual cryptography scheme (VCS) for a set P of n participants encodes a secret image into n shadow images called shares each of which is given to a distinct participant. Certain qualified subsets of participants can recover the secret image, whereas forbidden subsets of participants have no information on the secret image. The shares given to participants in X ⊑ P are xeroxed onto transparencies. If X is qualified then the participants in X can visually recover the secret image by stacking their transparencies without any cryptography knowledge and without performing any cryptographic computation.
3 citations
11 Apr 2021
TL;DR: This venture intends to execute casting a ballot result utilizing block chain calculation from each place of decision, mainly achieved by making use of Visual Cryptography (VC) concept.
Abstract: Expanding advanced innovation has revolutionized the life of individuals. In this digital world many countries are trying to initiate an E-voting system in regular election process. Researchers are looking forward for the innovative ideas for secure and user friendly system. Block chain is one of the novel concepts that come with number of features to develop E-services. By embracing block chain in the circulation of databases on e-casting ballot frameworks, one can decrease the duping wellsprings of database control. This venture intends to execute casting a ballot result utilizing block chain calculation from each place of decision. In proposed system we have chosen Block chain for its decentralized framework and Here in security and data integrity is mainly achieved by making use of Visual Cryptography (VC) concept. This VC technique comes in when user casts vote on an E-voting portal.
3 citations
TL;DR: The experiment result shows that the proposed Visual Secret Share (VSS) method is giving more security and quality of secret image sharing and also execution time is faster than existing method.
Abstract: In the digital transparent world, share the secret messages are challenged one. Visual cryptography (VC) is safer method for information transfer without any distraction by hackers. It is giving more security to the information sharing through digital form. This method hides the messages into images. So intruder cannot understand the distorted image and the data communication become secured. Through VC method number of shares has been generated from the original images. So here each RGB pixel shares are separately created by Visual Secret Share (VSS) scheme. The created multiple shares of the secret images are encrypted and decrypted with RSA algorithm. In the encryption process the multiplication technique is used for key generation process and public key is used for encryption process and private key is used for decryption process. Secret image’s quality has been compared through the Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) values. The experimental result of decrypted image PSNR value is 156.32 and MSE value is 0.5031. The Number of Changing Pixel Rate (NPCR) and Unified Averaged Changed Intensity (UACI) values are compared for the secure level of the secret image. The result of decrypted image NPCR value is 69.44 and UACI value is 13.88. Finally, the experiment result shows that the proposed method is giving more security and quality of secret image sharing and also execution time is faster than existing method.
3 citations
TL;DR: A biometric recognition system with visual cryptography, which preserves the privacy ofBiometric features by storing biometric features in separate databases by eliminating the complex operations in existing privacy-preserving schemes based on cryptography or watermarking.
Abstract: The popularity of more powerful and smarter digital devices has improved the quality of life and poses new challenges to the privacy protection of personal information. In this paper, we propose a biometric recognition system with visual cryptography, which preserves the privacy of biometric features by storing biometric features in separate databases. Visual cryptography combines perfect ciphers and secret sharing in cryptography with images, thus eliminating the complex operations in existing privacy-preserving schemes based on cryptography or watermarking. Since shares do not reveal any feature about biometric information, we can efficiently transmit sensitive information among sensors and smart devices in plain. To abate the influence of noise in visual cryptography, we leverage the generalization ability of transfer learning to train a visual cryptography-based recognition network. Experimental results show that our proposed method keeps the high accuracy of the feature recognition system when providing security.
3 citations
TL;DR: Li et al. as discussed by the authors proposed a general construction method for (t, s, k, n)-VCS with essential shadows based on XOR operation, which originates from the partition of access structure.
3 citations