Detection and alerting system of nearby medical facilities during emergency using IoT sensors

Recently, IoT smart homes have several connected devices, including home appliances, security, and monitoring devices. The imagined near-future system is heterogeneous to existing systems and includes advanced "decision-making" capabilities to independently change the network state. The main aim is to anticipate cyber threats to these systems and to provide digital researchers with focus points. In this paper, a near-future model is proposed called a sparse IoT classification reasoning network (SIoTCRN) that defines its features and their functions, including devices, services, and data flow. Using the FoG system model network, common usage cases are identified, and the potential issues for digital researchers working on such networks can be identified. For these situations, humans carry out a threat analysis to identify cyber-physical threats. Finally, the researcher's test case studies of such heterogeneous systems and show the potential for device use.