Intelligent Security and Privacy of Electronic Health Records Using Biometric Images
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Published:2019-04-11
Issue:4
Volume:15
Page:386-394
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ISSN:1573-4056
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Container-title:Current Medical Imaging Formerly Current Medical Imaging Reviews
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language:en
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Short-container-title:CMIR
Affiliation:
1. Center of King Salman Endowed Chair of Information Security, College of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Al-Khobar, Saudi Arabia
Abstract
<P>Background: In the presence of Cloud Environment and the migration of Electronic
Health Systems and records to the Cloud, patient privacy has become an emergent problem for
healthcare institutions. Government bylaws, electronic health documentation, and innovative internet
health services generate numerous security issues for healthcare conformity and information
security groups. To deal with these issues, healthcare institutes must protect essential IT infrastructure
from unauthorized use by insiders and hackers. The Cloud Computing archetype allows for EHealth
methods that improve the features and functionality of systems on the cloud. On the other
hand, sending patients’ medical information and records to the Cloud entails a number of risks in
the protection and privacy of the health records during the communication process.
</P><P>
Aim: In this paper, a solution is proposed for the security of Electronic Health Records (EHRs) in
cloud environment during the process of sending the data to the cloud. In addition, the proposed
method uses biometric images that allow for unified patient identification across cloud-based EHRs
and across medical institutions.
</P><P>
Method: To protect the privacy of patients’ information and streamline the migration process, a
watermarking-based method is proposed for health care providers to ensure that patients’ data are
only accessible to authorized personnel. Patients’ information, such as name, id, symptoms, diseases,
and previous history, is secured in biometric images of patients as an encrypted watermark.
Results:
Quality and impeccability analysis and robustness were performed to test the proposed
method. The PSNR values show that the proposed method produced excellent results.
Conclusion:
The robustness and impressibility of the proposed method were tested by subjecting
the watermarked images to different simulated attacks. The watermarks were largely impermeable
to varied and repeated attacks.</P>
Publisher
Bentham Science Publishers Ltd.
Subject
Radiology Nuclear Medicine and imaging
Reference41 articles.
1. Low C, Chen YH. J Med Syst, Criteria for the evaluation of a cloud-based hospital information system outsourcing provider.,, 2012, 36,, 3543-3553, 2. Sahi MA, Abbas H, Saleem K. , , Privacy preservation in ehealthcare
environments: State of the art and future directions.
IEEE Access 2018; 6: 464-78, 3. Eagleson R, Altamirano-Diaz L, McInnis A. BMC Med Res Methodol, Implementation of clinical research trials using web-based and mobile devices: Challenges and solutions.,, 2017, 17,, 43-, 4. Kennedy J, Eberhart RC. , Particle swarm optimization. Proceedings
of ICNN'95-International Conference on Neural Networks; 1995;
Perth, WA, Australia. IEEE 1995, , 5. Furht B, Escalante A, , Springer,, New York, , Handbook of cloud computing., 2010,-
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