Secured Health Monitoring System: Integrating Huffman Encoding and RSA Encryption for Data Security in Multi-Sensor IoMT Solution

Problem Definition

The Internet of Medical Things (IOMT) domain presents a critical challenge in securely collecting and protecting real-time medical data. With the increasing use of medical sensors like Electrocardiogram (ECG), Galvanic Skin Resistance (GSR), and temperature sensors, the need for secure data encryption and encoding has become paramount. Unauthorized access to patients' private information can lead to serious breaches of confidentiality and integrity. This project aims to address these limitations by focusing on the development of secure encoding and encryption techniques to safeguard sensitive medical data. By utilizing real-time medical sensors and transmitting data to computers, the project seeks to ensure the confidentiality of patient information and prevent potential data breaches.

Through the integration of software like Arduino and MATLAB, the project aims to optimize data security within the IOMT domain, providing a valuable solution to current limitations and pain points in the field.

Objective

The objective of the project is to develop secure encoding and encryption techniques to safeguard real-time medical data in the Internet of Medical Things (IOMT) domain. By utilizing hardware and software modules, the project plans to collect data from medical sensors, encode it using Huffman encoding, and encrypt it using the RSA encryption method. This approach aims to ensure the confidentiality and integrity of patients' private information, prevent unauthorized access to sensitive data, and optimize data security within the IOMT domain. The ultimate goal is to create a comprehensive system for data collection and system security that efficiently collects and secures medical data while ensuring secure data transfer to prevent potential breaches.

Proposed Work

The proposed project aims to address the challenge of securing real-time medical data in the Internet of Medical Things (IOMT) domain. By using a combination of hardware and software modules, the project plans to collect data from medical sensors like ECG, GSR, and temperature, encode it using Huffman encoding, and then encrypt it using the RSA encryption method. This approach ensures the confidentiality and integrity of patients' private information, thus preventing unauthorized access to sensitive data. The use of Arduino and MATLAB for hardware and software respectively will enable efficient data collection, encoding, and encryption processes, while also facilitating secure data transfer to prevent any potential breaches. By designing an application in the IOMT domain for data capture and cybersecurity, the project's ultimate goal is to develop a mechanism that efficiently collects and secures medical data while ensuring secure data transfer to prevent unauthorized access.

The proposed solution leverages the capabilities of real-time medical sensors, hardware modules, and software applications to create a comprehensive system for data collection and system security. The use of Huffman encoding and RSA encryption techniques was chosen for their effectiveness in maintaining data confidentiality and integrity, thereby providing a robust solution for securing real-time medical data in the IOMT domain.

Application Area for Industry

This project can be applied across various industrial sectors such as healthcare, pharmaceuticals, medical devices, and telemedicine. In the healthcare sector, the challenge of securely collecting and encrypting real-time medical data is critical to protecting patients' privacy. By implementing the proposed solutions of using hardware and software modules for data collection and system security, industries can ensure the confidentiality and integrity of sensitive medical information. The benefits of this project's solutions include enhanced data security, compliance with data protection regulations, improved patient trust, and streamlined data processing capabilities. Industries will be able to securely collect, encode, and encrypt real-time medical data such as ECG and temperature, ensuring that only authorized personnel have access to the information.

By utilizing encryption methods like RSA and encoding schemes like Huffman, industrial sectors can protect sensitive data from unauthorized access and ensure the privacy of patients' personal information.

Application Area for Academics

This proposed project has immense potential to enrich academic research, education, and training in the field of Internet of Medical Things (IOMT). By addressing the challenge of collecting and securing real-time medical data, the project offers a practical application for data encryption and encoding in the healthcare sector. The relevance of this project lies in its application of cutting-edge technologies such as real-time medical sensors, Arduino, and MATLAB software. By utilizing algorithms like Huffman encoding scheme and RSA encryption method, researchers, MTech students, and PHD scholars can explore innovative research methods in data encryption and security. Moreover, the project provides a hands-on opportunity for students to understand the practical implementation of data security measures in IoT systems.

The proposed project can be particularly beneficial for researchers focusing on medical data security and privacy, as well as for students interested in IoT technologies and data encryption methods. By leveraging the code and literature of this project, researchers can further their investigations into secure data transmission in healthcare settings. In terms of future scope, this project opens up possibilities for expanding research in the intersection of IoT and health technologies. Researchers can explore advanced encryption methods, develop new algorithms for data security, and enhance the overall reliability of real-time medical data collection systems. Ultimately, this project serves as a stepping stone for advancing academic research and training in the field of IOMT.

Algorithms Used

The project utilizes the Huffman encoding scheme to reduce the size of collected data while preserving its original information. This algorithm plays a crucial role in compressing the data before further processing. Following this, the RSA encryption method is applied to enhance the security of the compressed data. By encrypting the information using RSA, the project ensures that the data remains confidential and secure throughout its transmission and storage. Together, these algorithms contribute to achieving the project's objectives of efficient data collection, secure transmission, and maintaining confidentiality, ultimately improving the overall system accuracy and efficiency.

Keywords

SEO-optimized keywords: IOMT, IoT, Medical Data, Cybersecurity, Data Encryption, Huffman Encoding, RSA Encryption, Arduino, MATLAB, ThingSpeak, Data Protection, Software Code, Hardware Code, Real-Time Medical Sensors, Data Encoding.

SEO Tags

IOMT, IoT, Internet of Medical Things, Medical Data Security, Data Encryption, Data Encoding, Real-Time Medical Sensors, ECG Data Collection, GSR Data Collection, Temperature Data Collection, Cybersecurity in Healthcare, Huffman Encoding Scheme, RSA Encryption Method, Arduino for Data Collection, MATLAB for Data Processing, ThingSpeak Integration, Secure Data Transmission, Hardware Security Modules, Software Security Modules, Data Privacy, Healthcare Technology, IoT Applications in Healthcare.