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Medical identity theft in telemedicine: solving the privacy and security issues

Medical Identity Theft (MIDT) occurs when fraudsters impersonate unsuspecting individuals to obtain medical care, buy drugs, and submit fake billings or altered medical records. The consequences can sometimes be life-threatening if wrong information ends up in the victim’s personal medical records....

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Main Authors: Olanrewaju, Rashidah Funke, Khalifa, Othman Omran
Format: Monograph
Language:English
Published: IIUM Press 2015
Subjects:
Q Science (General)
R Medicine (General)
Online Access:http://irep.iium.edu.my/45556/1/45556_Medical%20identity%20theft%20in%20telemedicine%20-%20Monograph.pdf
http://irep.iium.edu.my/45556/
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spelling my.iium.irep.455562021-03-07T08:15:25Z http://irep.iium.edu.my/45556/ Medical identity theft in telemedicine: solving the privacy and security issues Olanrewaju, Rashidah Funke Khalifa, Othman Omran Q Science (General) R Medicine (General) Medical Identity Theft (MIDT) occurs when fraudsters impersonate unsuspecting individuals to obtain medical care, buy drugs, and submit fake billings or altered medical records. The consequences can sometimes be life-threatening if wrong information ends up in the victim’s personal medical records. With advancement in telecommunication combined with improved information infrastructures that has opened up new dimensions in e-health/telemedine environment, the risks are expected to increase, since electronic medical records has become even more prevalent and pervasive. Such technologies make it easy to access, store, manipulate and replicate medical information and images. Although these technologies help reduce the time and effort in diagnoses and treatment at lower cost. However protection and authentication of such medical information and images are now becoming increasingly important in telemedicine environment where images and medical information are readily distributed over electronic networks. Intruders/hackers may gain access to confidential information and possible alter such vital records. As such, the vulnerability associated with data over the internet needs to be eliminated. This is because any alteration to medical information may cause a devastating effect to the patient. In this work, a digital watermarking that detects any attempt of altering patient data is proposed. The discrete wavelet transform of the 8 x 8 non-overlapping blocks of the medical test image is generated prior to the embedding process. 64-bits binary equivalent of digit numbers representing patient’s entry date and file ID used as the watermark is embedded inside the corresponding patient’s medical image by quantizing the coefficient of the highest frequency components of each block. An average of 80dB Peak Signal to Noise Ratio (PSNR) was achieved after watermarking which show that the watermark is highly imperceptible . The findings of this study also showed that the extracted watermark compared with the original watermark was able to authenticate if the image was tampered or not. Hence, the proposed algorithm enables quick and excellent detection capability of any modification done to the medical images. IIUM Press 2015-10-31 Monograph NonPeerReviewed application/pdf en http://irep.iium.edu.my/45556/1/45556_Medical%20identity%20theft%20in%20telemedicine%20-%20Monograph.pdf Olanrewaju, Rashidah Funke and Khalifa, Othman Omran (2015) Medical identity theft in telemedicine: solving the privacy and security issues. Research Report. IIUM Press, Kuala Lumpur. (Unpublished)
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic Q Science (General)
R Medicine (General)
spellingShingle Q Science (General)
R Medicine (General)
Olanrewaju, Rashidah Funke
Khalifa, Othman Omran
Medical identity theft in telemedicine: solving the privacy and security issues
description Medical Identity Theft (MIDT) occurs when fraudsters impersonate unsuspecting individuals to obtain medical care, buy drugs, and submit fake billings or altered medical records. The consequences can sometimes be life-threatening if wrong information ends up in the victim’s personal medical records. With advancement in telecommunication combined with improved information infrastructures that has opened up new dimensions in e-health/telemedine environment, the risks are expected to increase, since electronic medical records has become even more prevalent and pervasive. Such technologies make it easy to access, store, manipulate and replicate medical information and images. Although these technologies help reduce the time and effort in diagnoses and treatment at lower cost. However protection and authentication of such medical information and images are now becoming increasingly important in telemedicine environment where images and medical information are readily distributed over electronic networks. Intruders/hackers may gain access to confidential information and possible alter such vital records. As such, the vulnerability associated with data over the internet needs to be eliminated. This is because any alteration to medical information may cause a devastating effect to the patient. In this work, a digital watermarking that detects any attempt of altering patient data is proposed. The discrete wavelet transform of the 8 x 8 non-overlapping blocks of the medical test image is generated prior to the embedding process. 64-bits binary equivalent of digit numbers representing patient’s entry date and file ID used as the watermark is embedded inside the corresponding patient’s medical image by quantizing the coefficient of the highest frequency components of each block. An average of 80dB Peak Signal to Noise Ratio (PSNR) was achieved after watermarking which show that the watermark is highly imperceptible . The findings of this study also showed that the extracted watermark compared with the original watermark was able to authenticate if the image was tampered or not. Hence, the proposed algorithm enables quick and excellent detection capability of any modification done to the medical images.
format Monograph
author Olanrewaju, Rashidah Funke
Khalifa, Othman Omran
author_facet Olanrewaju, Rashidah Funke
Khalifa, Othman Omran
author_sort Olanrewaju, Rashidah Funke
title Medical identity theft in telemedicine: solving the privacy and security issues
title_short Medical identity theft in telemedicine: solving the privacy and security issues
title_full Medical identity theft in telemedicine: solving the privacy and security issues
title_fullStr Medical identity theft in telemedicine: solving the privacy and security issues
title_full_unstemmed Medical identity theft in telemedicine: solving the privacy and security issues
title_sort medical identity theft in telemedicine: solving the privacy and security issues
publisher IIUM Press
publishDate 2015
url http://irep.iium.edu.my/45556/1/45556_Medical%20identity%20theft%20in%20telemedicine%20-%20Monograph.pdf
http://irep.iium.edu.my/45556/
_version_ 1693725778121850880
score 13.211869

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