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

4 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.

LanguageEnglish
Pages400-412
Number of pages13
JournalFuture Generation Computer Systems
Volume88
DOIs
Publication statusPublished - Nov 2018

Fingerprint

Watermarking
Chaos theory
Health
Pathology
Data communication systems
Recovery
Industry

Keywords

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

Cite this

Ali, Zulfiqar ; Imran, Muhammad ; Alsulaiman, Mansour ; Shoaib, Muhammad ; Ullah, Sana. / Chaos-based robust method of zero-watermarking for medical signals. In: Future Generation Computer Systems. 2018 ; Vol. 88. pp. 400-412.
@article{d675d2c5ef07416f91b028bbfed2f08c,
title = "Chaos-based robust method of zero-watermarking for medical signals",
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.",
keywords = "Chaotic system, Healthcare, Logistic map, Privacy protection, Vocal fold disorders",
author = "Zulfiqar Ali and Muhammad Imran and Mansour Alsulaiman and Muhammad Shoaib and Sana Ullah",
year = "2018",
month = "11",
doi = "10.1016/j.future.2018.05.058",
language = "English",
volume = "88",
pages = "400--412",
journal = "Future Generation Computer Systems",
issn = "0167-739X",
publisher = "Elsevier",

}

Chaos-based robust method of zero-watermarking for medical signals. / Ali, Zulfiqar; Imran, Muhammad; Alsulaiman, Mansour; Shoaib, Muhammad; Ullah, Sana.

In: Future Generation Computer Systems, Vol. 88, 11.2018, p. 400-412.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Chaos-based robust method of zero-watermarking for medical signals

AU - Ali, Zulfiqar

AU - Imran, Muhammad

AU - Alsulaiman, Mansour

AU - Shoaib, Muhammad

AU - Ullah, Sana

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - Chaotic system

KW - Healthcare

KW - Logistic map

KW - Privacy protection

KW - Vocal fold disorders

UR - http://www.scopus.com/inward/record.url?scp=85048829608&partnerID=8YFLogxK

U2 - 10.1016/j.future.2018.05.058

DO - 10.1016/j.future.2018.05.058

M3 - Article

VL - 88

SP - 400

EP - 412

JO - Future Generation Computer Systems

T2 - Future Generation Computer Systems

JF - Future Generation Computer Systems

SN - 0167-739X

ER -