Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network

Computer Engineering

With high speed developments of sensor, wireless and mobile communication technologies, Mobile Healthcare Social Networks (MHSNs) have emerged as a popular means of communication in healthcare services. With the help of MHSNs, patients can use their mobile devices to securely share their experiences, broaden their understanding of the illness or symptoms, form a supportive network, and transmit information between users and other stake holders (e.g. medical center). The handshake scheme is a significant cryptographic mechanism, which can provide secure communication in MHSNs (e.g. anonymity and mutual authentication between users, such as patients). The main aim of this project is to detect the possibility of health issues that may occur in a patient by constant monitoring and emergency prediction and to establish a secure framework for handshaking scheme in Mobile Healthcare Social Network (MHSN). Monitoring is done using Wireless Body Area Networking (WBAN) technology which makes use of Body Sensor Nodes (BSN).It is based on hierarchical identity based cryptography. The MHSN is set up using an efficient Cross Domain Handshake Scheme (CDHS) that allows symptoms matching within MHSNs.

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