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XOR based continuous-tone multi secret sharing for store-and-forward telemedicine

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Abstract

Traditional k out of n visual cryptography scheme has been proposed to encrypt single secret image into n shares where only k or more shares can decode the secret image. Many existing schemes on visual cryptography are restricted to consider only binary images as secret which are not appropriate for many important applications. Store-and-Forward telemedicine is one such application where medical images are transmitted from one site to another via electronic medium to analyze the patient’s clinical health status. The main objective of Store-and-Forward telemedicine is to provide remote clinical services via two-way communication between the patient and the healthcare provider using electronic medical image, audio and video means. In this paper, a new XOR based Continuous-tone Multi Secret Sharing scheme suitable for store-and-forward telemedicine is proposed to securely transmit the medical images. It also eliminates basic security constraints of VC like pixel expansion in shares/recovered secret images, random pattern of shares, explicit codebook requirement, lossy recovery of secret and limitation on number of secret and shares. Proposed approach is n out of n multi secret sharing scheme which is able to transmit n secret images simultaneously. All secrets could be revealed only after some computations with all n shares and one master share. Master share has been created with the secret key at encoding phase and it can be regenerated at the time of decoding using same secret key. Here all shares are meaningful in continuous-tone which may provide confidentiality to medical images during transmission. Proposed approach not only preserves all basic characteristics of traditional VC but also increases the capacity of secret image sharing. From the experiments we found that irrespective of visible contents of the shares, the probability of getting back the pixel values of respective original secret images at the receiver end is very high.

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Authors and Affiliations

  1. Thapar University, Patiala, Punjab, India

    Shivendra Shivani

  2. National Institute of Technology, Allahabad, India

    B. Rajitha & Suneeta Agarwal

Authors
  1. Shivendra Shivani
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  2. B. Rajitha
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  3. Suneeta Agarwal
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Correspondence to Shivendra Shivani.

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Shivani, S., Rajitha, B. & Agarwal, S. XOR based continuous-tone multi secret sharing for store-and-forward telemedicine. Multimed Tools Appl 76, 3851–3870 (2017). https://doi.org/10.1007/s11042-016-4012-z

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  • DOI: https://doi.org/10.1007/s11042-016-4012-z

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