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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5541
Title: A (n, n) threshold non-expansible XOR based visual cryptography with unique meaningful shares
Authors: Singh P.
Raman B.
Misra M.
Published in: Signal Processing
Abstract: Cloud-based multimedia systems are attracting end users with high end infrastructure resources and enormous storage facilities. However, there persists a high chance of leakage of sensitive information if outsourced to the remote cloud servers without encryption. In this article, a secure way of obscuring the information based on XOR based Visual Cryptography (VC) has been proposed. It obscures the secret information into multiple meaningful shares prior to outsourcing which reduces the vulnerability of random looking shares to cryptanalysis. The scheme also overcomes the problems existing in the traditional VC schemes like pixel expansion, share alignment problem, contrast loss, explicit codebook requirement, limitation on number of participants and lossy recovery of the secret. Proposed scheme ensures perfect recovery of the secret with high boost in contrast at the authentic entity end. Three novel algorithms have been proposed for generation of basis matrices, generation of random shares and conversion of random shares to meaningful shares to achieve this objective. The visual quality of the meaningful shares and the recovered secret image is quite good as evaluated by various objective error metrics. Comparative results based on various aspects of visual cryptography prove the efficiancy of the proposed approach over existing state-of-the-art approaches. © 2017 Elsevier B.V.
Citation: Signal Processing (2018), 142(): 301-319
URI: https://doi.org/10.1016/j.sigpro.2017.06.015
http://repository.iitr.ac.in/handle/123456789/5541
Issue Date: 2018
Publisher: Elsevier B.V.
Keywords: Cloud
Meaningful shares
Objective error metrics
Pixel expansion
Unexpanded
XOR Based visual cryptography
ISSN: 1651684
Author Scopus IDs: 57212591690
23135470700
56223635000
Author Affiliations: Singh, P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Raman, B., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Misra, M., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Corresponding Author: Singh, P.; Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India; email: priyankiitr@iitr.ac.in
Appears in Collections:Journal Publications [CS]

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