Privacy Preserving based Personal Health Records Sharing Using Rail Fence Data Encryption (RFDE) for Secure Cloud Environment
2023 IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2023
; 2023.
Article
in English
| Scopus | ID: covidwho-2324970
ABSTRACT
The prevalence cloud security has privacy preserving problems that major challenges due to humanity's need protect the sensitive and non-sensitive data to decision-making and resolve data leakage problems. One of the most difficult aspects is the reuse and sharing of accurate and detailed clinical data about PHR collected via Personal Health Records (PHRs) cloud transition is difficult. PHRs are often privacy preserving patient-centric models for exchanging medical information outsourced to third parties, such as Cloud Service Providers (CSP). A unique PHR patient information to ensure security with encryption before storage in the cloud. But still, issues such as security issues, flexible access and a valid user privacy risk management, efficiency and remain an important challenge to achieve better data access sensitive and non-sensitive imposition of control in cloud storage. To achieve high efficiency of PHR and modular data access control, Rail Fence Data Encryption (RFDE) algorithm provided to encrypt the PHR file to make high privacy standards. RFDE is also a form of transposition cipher called zigzag encryption, and the unauthorized user can't access the information. The proposed algorithm encrypts the PHR information it generates the secret key. The receiver decrypts the PHR information using the private key. The proposed algorithm provide efficient performance compared with previous algorithm. © 2023 IEEE.
Cloud; coronavirus disease 2019 (COVID-19); decryption; encryption; PHR information; private key; Rail Fence Data Encryption (RFDE); secret key; Access control; Cloud storage; Decision making; Efficiency; Fences; Information management; Privacy-preserving techniques; Risk management; Sensitive data; Coronavirus disease 2019; Data encryption; Personal health record; Personal health record information; Privacy preserving; Rail fence data encryption; Record information; COVID-19
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
/
Prognostic study
Language:
English
Journal:
2023 IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2023
Year:
2023
Document Type:
Article
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