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Securing Medical Images via a Texture and Chaotic Key Framework

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Multimedia Security

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

Healthcare information framework is a critical component in any information technology framework as patient-specific information like initial diagnosis, response to drugs, extent of recovery, etc., always resides over these systems. From the perspective of a healthcare professional, the focus is always on the best utilization of this critical data. This may be achieved by sharing such data over a network to enhance chances of better interpretation. However, this data may get compromised in terms of its integrity, confidentiality and authenticity over such an insecure network. On the other hand, Health Insurance Portability and Accountability Act (HIPAA) guidelines must be adhered to once such data flows an insecure network. Therefore, considering the importance of medical data transmission for better data interpretation and consequently better diagnosis and prognosis, we propose a texture edge map and multilevel chaotic map-driven encryption framework for medical images. The proposed technique employs texture maps obtained from Gabor filters in tandem with multiple chaotic maps: quadratic, cubic and logistic maps to enhance the key space, robustness and security of medical images over a vulnerable channel. The security and reliability of the proposed methodology are illustrated through key sensitivity analysis, statistical and performance analysis. The proposed methodology ensures large key length and pixel diffusion. Security analysis illustrates one of the prime properties of key sensitivity to initial conditions to withstand differential attacks. In addition to withstanding the differential attacks, the proposed technique has a large enough key space to see off brute force attacks. Considering the criticality of the transmission of medical images for use in the state-of-the-art e-healthcare systems like picture archiving and communication systems, the proposed technique is a potential candidate for addressing security vulnerabilities of medical images over the communication networks.

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Author information

Authors and Affiliations

  1. Department of E&C Engineering, School of Engineering and Technology, IUST, Awantipora, Jammu and Kashmir, India

    Shoaib Amin Banday

  2. Department of CS and Engineering, School of Engineering and Technology, IUST, Awantipora, Jammu and Kashmir, India

    Mohammad Khalid Pandit

  3. Department of CS and Engineering, National Institute of Technology Srinagar, Srinagar, India

    Ab. Rouf Khan

Authors
  1. Shoaib Amin Banday
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  2. Mohammad Khalid Pandit
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  3. Ab. Rouf Khan
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Corresponding author

Correspondence to Shoaib Amin Banday .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Islamic University of Science and Technology, Pulwama, Jammu and Kashmir, India

    Kaiser J. Giri

  2. Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar, Jammu and Kashmir, India

    Shabir Ahmad Parah

  3. Department of Computer Science, Islamic University of Science and Technology, Pulwama, Jammu and Kashmir, India

    Rumaan Bashir

  4. Department of Software, Sejong University, Seoul, Korea (Republic of)

    Khan Muhammad

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Banday, S.A., Pandit, M.K., Khan, A.R. (2021). Securing Medical Images via a Texture and Chaotic Key Framework. In: Giri, K.J., Parah, S.A., Bashir, R., Muhammad, K. (eds) Multimedia Security. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-8711-5_1

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