Neutrosophic Model for Evaluation Healthcare Security Criteria for Powerful and Lightweight Secure Storage System in Cloud-Based EHealthcare Services

Abstract

Large data volumes make manually keeping and preserving health records for future reference
problematic. Most unusual is the coronavirus epidemic's overcrowding of hospitals. The Secure Pattern Electronic
Healthcare Records (SPEHR) scheme provides a powerful and lightweight secure storage system for cloud-based Ehealthcare services that meets remote healthcare security criteria. So we proposed a neutrosophic model with a multicriterion decision-making (MCDM) method for the analysis and evaluation of these criteria. The neutrosophic model
is used to deal with vague and uncertain data. Then we integrated the neutrosophic model with the AHP method to
rank and compute the weights of the criteria. Offering stakeholders a secure interface and avoiding unwanted access
to cloud-stored data mitigates E-healthcare risks. The key derivation ensures end-to-end data. ciphering to prevent
unauthorized use (KDF). This work provides robust security solutions for various environments. This work can meet
security needs for people and secure-communicating organizations. We found the data privacy is the best criterion.