Volume 20 No 20 (2022)
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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
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