Development of an improved transmission and security system for e-health monitoring

Abstract

The rapid advancement of e-health technologies has revolutionized the healthcare industry by enabling remote monitoring of patient's vital signs and health parameters. However, the transmission and security of sensitive health data remain significant concerns. This thesis presents the development of an improved transmission and security system for e-health monitoring to address these challenges. The proposed system leverages advanced encryption techniques and secure transmission protocols to ensure the confidentiality and integrity of health data during transmission. It utilizes state-of-the-art cryptographic algorithms to protect sensitive patient information from unauthorized access and potential data breaches. Additionally, the system incorporates user authentication, access control, and secure data storage mechanisms to enhance security further. The system employs efficient data compression and error correction techniques to optimize health data transmission. These methods reduce the bandwidth requirements and enhance the reliability of data transmission, particularly in resource-constrained environments. The system also implements adaptive data rate control to ensure efficient utilization of available network resources, thereby minimizing latency and improving real time monitoring capabilities. Furthermore, the system incorporates robust error detection and recovery mechanisms to ensure the accuracy and completeness of transmitted health data. These mechanisms can detect and correct transmission errors, ensuring data reliability for medical analysis and decision-making. The proposed system has been evaluated through comprehensive simulations and experimental tests. The results demonstrate improved transmission efficiency, reduced latency, enhanced data security, and reliable error detection and recovery capabilities compared to existing e-health monitoring systems. The system's performance and security features suit various e-health applications, such as remote patient monitoring, telemedicine, and healthcare data exchange. Sensitive information could be delivered securely using efficient routing systems that limit packet loss and encryption that keeps transmitted data secret. The suggested solution could minimize packet loss by 4.09% while enhancing network performance and dependability. The maximum and minimum error rates are 0.78 and 1.2 percent, respectively. The error rate is below 5%, which is quite reasonable. It could be most useful for IoT-based mobile wireless mesh networks. In conclusion, this thesis presents an innovative transmission and security system for e-health monitoring, addressing critical challenges in data confidentiality, integrity, and reliability. The proposed system's integration of advanced encryption, secure transmission protocols, data compression, error correction, and error detection mechanisms contribute to improved overall performance and data protection in e-health applications.