Blockchain-based Multi-user Dynamic Verifiable Searchable Encryption For Secure Data Storage And Query On Malicious Cloud Server

Abstract

The Increasing Elderly Population Has Led To A Growing Demand For Intelligent Healthcare Monitoring Systems. Falls Are One Of The Major Causes Of Injury And Mortality Among Elderly Individuals. This Paper Proposes An IoT-based Remote Monitoring System Using Six-axis Acceleration Sensors To Detect Falls In Real Time. The System Integrates Edge Computing To Process Sensor Data Locally, Reducing Latency And Improving Response Time. By Combining Accelerometer And Gyroscope Data, The System Accurately Distinguishes Between Normal Activities And Fall Events. Alerts Are Instantly Sent To Caregivers Through IoT Communication Modules. The Proposed System Ensures Improved Safety, Reduced False Alarms, And Enhanced Real-time Monitoring For Elderly Individuals.

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