A novel fuzzy logic-based image steganography method to ensure medical data security

Karalcis R., Guler J., Capraz İ., Bilir E.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.67, ss.172-183, 2015 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 67
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.compbiomed.2015.10.011
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.172-183
  • Anahtar Kelimeler: Medical image steganography, Medical data security, Fuzzy logic algorithm, Similarity based algorithm, Least significant bit, WATERMARKING, FILTER
  • Gazi Üniversitesi Adresli: Evet

Özet

This study aims to secure medical data by combining them into one file format using steganographic methods. The electroencephalogram (EEG) is selected as hidden data, and magnetic resonance (MR) images are also used as the cover image. In addition to the EEG, the message is composed of the doctor's comments and patient information in the file header of images. Two new image steganography methods that are based on fuzzy-logic and similarity are proposed to select the non-sequential least significant bits (LSB) of image pixels. The similarity values of the gray levels in the pixels are used to hide the message. The message is secured to prevent attacks by using lossless compression and symmetric encryption algorithms. The performance of stego image quality is measured by mean square of error (MSE), peak signal-to-noise ratio (PSNR), structural similarity measure (SSIM), universal quality index (UQI), and correlation coefficient (R). According to the obtained result, the proposed method ensures the confidentiality of the patient information, and increases data repository and transmission capacity of both MR images and EEG signals. (C) 2015 Elsevier Ltd. All rights reserved.