Privacy and Security of IOT Devices for Monitoring Vulnerable People

Privacy and Security of IOT Devices for Monitoring Vulnerable People

Ms.Kiruthikaa R ,M.E.,(Ph.D)

Assistant Professor, Dept. Of ECE, KGiSL Institute of Technology Coimbatore, TN, India

kiruthikaar27@gmail.com

Arjunan R

UG Student, Dept. Of ECE, KGiSL Institute of Technology Coimbatore, TN, India arjunramanathan8@gmail.com

Dharun Rakesh K

UG Student, Dept. Of ECE, KGiSL Institute of Technology Coimbatore, TN, India dharunrakeshkbd@gmail.com

Divyadharshini R

UG Student, Dept. Of ECE, KGiSL Institute of Technology Coimbatore, TN, India divyadharshini1023@gmail.com

Haritha Prasad H

UG Student, Dept. Of ECE, KGiSL Institute of Technology Coimbatore, TN, harithaprasad440@gmail.com

Kumaran M

 UG Student, Dept. Of ECE, KGiSI Institute of Technology Coimbatore, TN, India

kumaranmuniraj53@gmail.com

ABSTRACT

This project presents a real-time IoT-based health monitoring system developed using the ESP32 Uno microcontroller. The system integrates multiple sensors—including a DHT11 sensor (for temperature and humidity), a pulse sensor (for heart rate), and an MQ-3 alcohol sensor—to monitor essential health parameters. Sensor data is displayed locally on an LCD screen and transmitted remotely via a GSM module. To provide seamless data visualization and access, the system uses cloud platforms such as ThingSpeak and Blynk for real-time monitoring through mobile and web interfaces.

   A Java-based website has also been developed to allow users to securely view their health data, with a user-friendly dashboard for live updates. Additionally, all health reports are stored in the AWS cloud, enabling long-term data storage, report generation, and remote access for healthcare providers. This system offers a scalable and accessible solution for continuous health monitoring, suitable for both personal and clinical use.

By combining IoT, cloud services, and Java web development, it ensures real-time feedback, remote monitoring, and early detection of health anomalies. This ESP32-powered system is a low-cost, scalable, and efficient solution for personal and clinical health monitoring, ensuring early detection of anomalies and continuous patient care.

Keywords— IoT-based Health Monitoring,ESP32 Uno,DHT11 Sensor,Pulse Sensor,MQ-3 Alcohol Sensor,GSM Module,ThingSpeak,Blynk,Java Web Dashboard,AWS Cloud Storage