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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 4, 2021.
Abstract: Immense Procreation of large amounts of data in medical field and health care domain, benefitting society is at risk with sensitive attributes being disclosed. Access to Medical Information made feasible over internet with an intension of serving the people related to medical community is triggering a challenge for researchers in norms of Privacy and security. The medical data at cloud is vulnerable to unpredictable threats with evolving technology, and the threat landscape sounds resilient with sensitive attributes. In this contemporary stretch, Organizations fail to hold the reputation and are unable to preserve public confidence. The austerity of sophisticated security attacks compromise the privacy of patient data and security of healthcare units. The fruitful approaches by several researches and practitioners provided an up heal resolutions, but the demand for an optimal solution remains unanswered. In this paper we present a solution for addressing the security issues in health care management. We propose a hybrid framework using enhanced Attribute Based Encryption (ABE) with Anonymity approach based on access primitives of sensitive attributes. The proposed mechanism is evaluated in terms of performance, encryption time, decryption time and Memory utilization using Jsim simulator which envisage drastic performance expedition in the presented model.
Supriya Menon M and Rajarajeswari Pothuraju, “An Efficient Privacy Preserving Approach for e-Health” International Journal of Advanced Computer Science and Applications(IJACSA), 12(4), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120421
@article{M2021,
title = {An Efficient Privacy Preserving Approach for e-Health},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120421},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120421},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {4},
author = {Supriya Menon M and Rajarajeswari Pothuraju}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.