


Volume 20 No 20 (2022)
Download PDF
ENHANCED FEATURE BASED ATTRIBUTE ENCRYPTION FOR DATA PRIVACY AND ACCESS CONTROL
Somireddy Pavani, Dr.Arun Sahayadhas
Abstract
The healthcare organization gathers
a lot of complicated healthcare data that is not
mined to get the confidential data needed to make
wise decisions. The concept of personal health
records has emerged as a patient-centered
healthcare service where the patient's health data
is gathered in the cloud. It provides the ability for
people to produce, manage, and distribute data
over the cloud. However, doing so necessitates
taking security and privacy concerns into account.
This work describes Enhanced Feature based
Attribute Encryption for Data Privacy and Access
Control, which is presented as a solution to these
onerous commitments. Use an adaptable and finegrained access control system to manage massive
amounts of data. On unreliable servers, the ability
to obtain and manipulate the entry with finegrained information is guaranteed. In these
techniques, it is up to the data owners to encrypt
their files before uploading or downloading them
to the cloud and to re-encrypt them if a client's
login information changes. The outcomes
demonstrate the efficiency and reliability of the
approach to data access as well as sharing in the
cloud computing. Access control comparison and
computation cost comparison of various models
are described in the result analysis. By
outsourcing the procedure, the method will reduce
the computing cost for consumers
Keywords
Feature Based Attribute Encryption, access control, data privacy, fine grained Authentication
Copyright
Copyright © Neuroquantology
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.