Chaos-based robust method of zero-watermarking for medical signals

Zulfiqar Ali, Muhammad Imran, Mansour Alsulaiman, Muhammad Shoaib, Sana Ullah

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The growing use of wireless health data transmission via Internet of Things is significantly beneficial to the healthcare industry for optimal usage of health-related facilities. However, at the same time, the use raises concern of privacy protection. Health-related data are private and should be suitably protected. Several pathologies, such as vocal fold disorders, indicate high risks of prevalence in individuals with voice-related occupations, such as teachers, singers, and lawyers. Approximately, one-third of the world population suffers from the voice-related problems during the life span and unauthorized access to their data can create unavoidable circumstances in their personal and professional lives. In this study, a zero-watermarking method is proposed and implemented to protect the identity of patients who suffer from vocal fold disorders. In the proposed method, an image for a patient's identity is generated and inserted into secret keys instead of a host medical signal. Consequently, imperceptibility is naturally achieved. The locations for the insertion of the watermark are determined by a computation of local binary patterns from the time–frequency spectrum. The spectrum is calculated for low frequencies such that it may not be affected by noise attacks. The experimental results suggest that the proposed method has good performance and robustness against noise, and it is reliable in the recovery of an individual's identity.

Original languageEnglish
Pages (from-to)400-412
Number of pages13
JournalFuture Generation Computer Systems
Volume88
DOIs
Publication statusPublished - Nov 2018

Keywords

  • Chaotic system
  • Healthcare
  • Logistic map
  • Privacy protection
  • Vocal fold disorders

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