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Protecting Medical Research Data Using Next Gen Steganography Approach

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Intelligent Computing Paradigm and Cutting-edge Technologies (ICICCT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 9))

Abstract

In this paper our main aim is to protect medical research information, when data either images or information shared via internet or stored on hard drive 3rd person can’t access without authentication. As needs be, there has been an expanded enthusiasm for ongoing years to upgrade the secrecy of patients’ data. For this we combined different techniques to provide more security. Our approach is a combination of cryptography, Steganography & digital watermarking we named this technique as Next Gen. We used cryptography for encrypting the patient’s information even if they find image is stegonized and digital watermarking for authenticity and for Steganography we used most popular least significant bit algorithm (LSB). The experimental outcomes with various inputs show that the proposed technique gives a decent tradeoff between security, implanting limit and visual nature of the stego pictures.

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Author information

Authors and Affiliations

  1. University of Mysore, Mysore, India

    B. Praveen

  2. Department of CS, Christ (Deemed to be University), Bangalore, India

    Debabrata Samanta

  3. VBIT, Hyderabad, India

    G. Prasad

  4. BVCITS, Amalapuram, India

    Ch. Ranjith Kumar

  5. JBREC, Hyderabad, India

    M. L. M. Prasad

Authors
  1. B. Praveen
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  2. Debabrata Samanta
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  3. G. Prasad
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  4. Ch. Ranjith Kumar
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  5. M. L. M. Prasad
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Corresponding author

Correspondence to B. Praveen .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, Australia

    Lakhmi C. Jain

  2. CSIE Department, National Dong Hwa University, New Taipei City, Taiwan

    Sheng-Lung Peng

  3. Al-Balqa’ Applied University, Salt, Jordan

    Basim Alhadidi

  4. Department of Computer Science, Brainware University, Kolkata, West Bengal, India

    Souvik Pal

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Praveen, B., Samanta, D., Prasad, G., Ranjith Kumar, C., Prasad, M.L.M. (2020). Protecting Medical Research Data Using Next Gen Steganography Approach. In: Jain, L., Peng, SL., Alhadidi, B., Pal, S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2019. Learning and Analytics in Intelligent Systems, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-38501-9_34

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