Healthcare Cloud Security Model for Big Data Privacy Using Fog Computing

Single- and Extended-Authority CP-ABE for E-Healthcare Security in Cloud-IoT

The integration of Internet of Things (IoT) devices into clinical environments has generated volumes of electronic health records (EHRs) that exceed the management capacity of conventional access control mechanisms when these records are offloaded to cloud platforms. Protecting health records with fine-grained, cryptog...

Data security and privacy in cloud computing-based internet of things environments: current gaps and emerging solutions

The Internet of Things (IoT) is a revolutionary innovation that enables greater automation, efficiency, and ease of use across various domains. Cloud computing is an efficient solution for processing and analyzing the large volume of data generated by IoT components. Data flows from edge devices to cloud environments d...

An Enhanced Cloud Data Security Model for Financial Institutions

IoT-Blockchain Integration for Secure Smart Healthcare: Neural-Enhanced Encryption and Hybrid Anomaly Detection

The study revealed that the combination of IoT, blockchain, intelligent anomaly detection, and neural-enhanced encryption could be an efficient and reliable solution to the current health care issues.

A PRIVACY-PRESERVING FRAMEWORK FOR SECURE ANALYTICS OF HEALTHCARE RECORDS IN MULTI-TENANT CLOUD ENVIRONMENTS

The safe system described in this paper tackles healthcare analytics problems by combining blockchain technology, privacy-preserving parameters, zero-knowledge proofs (zk-SNARKs), and a multi-tenant cloud environment.

Security Vulnerabilities and Resilience Strategies in Healthcare IoT Systems: A Comprehensive Review

A thorough study of 41 peer-reviewed research papers from January 2018 through May 2025 revealed the current state of security vulnerabilities and resilience strategies in healthcare IoT systems and provides a comprehensive analysis of security threats at the device, network, and application levels.