دانلود رایگان مقاله انگلیسی VMVC: رمزنگاری بصری چند لحنی قابل بررسی - اشپرینگر 2018

Abstract

Traditional k out of n threshold visual cryptography scheme is proposed to hide a secret image into n shares, where only k or more shares can visually reveal the secret image. Most of the previous state of art approaches on visual cryptography are almost restricted in processing of binary images as secret, which are inadequate for many applications like securely transmission of medical images(Store and Forward Telemedicine), forensic images etc. In this paper, a new Verifiable Multi-toned Visual Cryptography (VMVC) scheme is proposed to securely transmit the confidential images on web. Proposed approach also provides cheating prevention, since each pixel of shares contains a self embedding verifiable bit for integrity test of that pixel. Many existing approaches are suffering from many unnecessary encryption constraints like random shares, codebook requirement, contrast loss etc, which all are successfully addressed in proposed approach. Some comparisons with previously proposed methods are also made. Experimental results and analysis are used to prove the efficiency of proposed approach.

4 Conclusions

In this paper a novel approach for verifiable multi-toned visual cryptography(VMVC) with meaningful shares has been proposed for securely transmission of various confidential images. Proposed method eliminates various basic security constraints of VC like pixel expansion of secret image, random pattern of shares, explicit codebook requirement and contrast loss. Proposed approach is basically 2 out of 2 secret sharing scheme where both shares are also multi-toned and meaningful in nature which may provide confidentiality to secret images during transmission . All pixels of both shares are contained with self embedding authentication bits, which ensures authentication and integrity of shares and hence secret image. The experiments and comparison with state of art approaches in all aspects of visual cryptography show the effectiveness of proposed VMVC approach. From the experimental results, we found that irrespective of contents in the shares, the probability of occurrence of original pixels of secret image in the decoded image is 1.0.