Enabling Clustering for Privacy-Aware Data Dissemination Based on Medical Healthcare-IoTs (MH-IoTs)‎ for Wireless Body Area Network

Joint Authors

Ullah, Fasee
Alyami, Hashem
Uddin, M. Irfan
Khan, Atif
Alosaimi, Wael
Ullah, Izhar

Source

Journal of Healthcare Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-28

Country of Publication

Egypt

No. of Pages

10

Main Topic

Public Health
Medicine

Abstract EN

There is a need to develop an effective data preservation scheme with minimal information loss when the patient’s data are shared in public interest for different research activities.

Prior studies have devised different approaches for data preservation in healthcare domains; however, there is still room for improvement in the design of an elegant data preservation approach.

With that motivation behind, this study has proposed a medical healthcare-IoTs-based infrastructure with restricted access.

The infrastructure comprises two algorithms.

The first algorithm protects the sensitivity information of a patient with quantifying minimum information loss during the anonymization process.

The algorithm has also designed the access polices comprising the public access, doctor access, and the nurse access, to access the sensitivity information of a patient based on the clustering concept.

The second suggested algorithm is K-anonymity privacy preservation based on local coding, which is based on cell suppression.

This algorithm utilizes a mapping method to classify the data into different regions in such a manner that the data of the same group are placed in the same region.

The benefit of using local coding is to restrict third-party users, such as doctors and nurses, when trying to insert incorrect values in order to access real patient data.

Efficiency of the proposed algorithm is evaluated against the state-of-the-art algorithm by performing extensive simulations.

Simulation results demonstrate benefits of the proposed algorithms in terms of efficient cluster formation in minimum time, minimum information loss, and execution time for data dissemination.

American Psychological Association (APA)

Ullah, Fasee& Ullah, Izhar& Khan, Atif& Uddin, M. Irfan& Alyami, Hashem& Alosaimi, Wael. 2020. Enabling Clustering for Privacy-Aware Data Dissemination Based on Medical Healthcare-IoTs (MH-IoTs) for Wireless Body Area Network. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1186462

Modern Language Association (MLA)

Ullah, Fasee…[et al.]. Enabling Clustering for Privacy-Aware Data Dissemination Based on Medical Healthcare-IoTs (MH-IoTs) for Wireless Body Area Network. Journal of Healthcare Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1186462

American Medical Association (AMA)

Ullah, Fasee& Ullah, Izhar& Khan, Atif& Uddin, M. Irfan& Alyami, Hashem& Alosaimi, Wael. Enabling Clustering for Privacy-Aware Data Dissemination Based on Medical Healthcare-IoTs (MH-IoTs) for Wireless Body Area Network. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1186462

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1186462