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Medical Image Reliability Verification Using Hash Signatures and Sequential Square Encoding

  • J. Jennifer Ranjani ORCID logo EMAIL logo and M. Babu
Published/Copyright: July 19, 2017
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Journal of Intelligent Systems
From the journal Journal of Intelligent Systems Volume 27 Issue 1

Abstract

Increased growth of information technology in healthcare has led to a situation where the security of patient information is more important and is a critical issue. The aim of the proposed algorithm is to provide a framework to verify the integrity of the medical images. In this paper, the integrity of the medical images is verified by embedding hash signatures using the sequential square embedding technique. This technique is as efficient as the diamond encoding technique but with increased payload capability. The medical image is first divided into the region of interest (ROI) block and the signature block. The hash signatures are determined by dividing the ROI into nonoverlapping blocks. During the data hiding stage, the hash signatures are embedded in randomly chosen pixel pairs in the signature block using the sequential square encoding (SSE) technique. In the experimental results, the data hiding capacity of the proposed SSE technique is verified in terms of peak signal-to-noise ratio. Also, the medical image integrity is substantiated by comparing the L2 norm between computed and extracted hash signatures. Modifications such as contrast enhancement, rotation, scaling, and changing the image information result in increased L2 norm; thus, the integrity of the medical images can be verified. The parameters required for embedding, such as the embedding parameter and the seed for random sequence generation, are encrypted and communicated to the receiving end. Hence, the proposed algorithm provides a secure framework for medical image integrity verification.

Keywords: Medical image integrity; data hiding; RSA encryption; sequential square encoding; diamond encoding

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Received: 2017-01-30
Published Online: 2017-07-19
Published in Print: 2018-01-26

©2018 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Introduction to the Special Issue on Recent Developments in Multimedia Watermarking Using Machine Learning
  4. Multiple Watermarking for Healthcare Applications
  5. Medical Image Reliability Verification Using Hash Signatures and Sequential Square Encoding
  6. An Image Authentication Algorithm Using Combined Approach of Watermarking and Vector Quantization
  7. A Novel Scene-Based Video Watermarking Scheme for Copyright Protection
  8. Novel Relevance Feedback Approach for Color Trademark Recognition Using Optimization and Learning Strategy
  9. A Parallel Algorithm for Wavelet Transform-Based Color Image Compression
  10. Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images
  11. Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network
  12. An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm
https://doi.org/10.1515/jisys-2017-0019
Keywords for this article
Medical image integrity; data hiding; RSA encryption; sequential square encoding; diamond encoding

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Introduction to the Special Issue on Recent Developments in Multimedia Watermarking Using Machine Learning
  4. Multiple Watermarking for Healthcare Applications
  5. Medical Image Reliability Verification Using Hash Signatures and Sequential Square Encoding
  6. An Image Authentication Algorithm Using Combined Approach of Watermarking and Vector Quantization
  7. A Novel Scene-Based Video Watermarking Scheme for Copyright Protection
  8. Novel Relevance Feedback Approach for Color Trademark Recognition Using Optimization and Learning Strategy
  9. A Parallel Algorithm for Wavelet Transform-Based Color Image Compression
  10. Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images
  11. Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network
  12. An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm
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