A Critical Reliable Model for Promoting Patient Medical Wireless Sensors Information Security

Data modification by attackers is a major cause of securing patient data and information from healthcare institutions inside or outside. Sensitive topics that may have an impact on a patient’s health or even national security include patient health records and information on healthcare professionals. Health databases and data sets in Internet of Health Things (IoHT) environments have been continually breached by many, regular assaults, as well as local and remote servers equipped with wireless sensor networks (WSNs) in various locations of the world. This problem was addressed by a number of contemporary strategies that were created to stop these assaults and guarantee the security of patient data and information transferred and gathered by WSNs. Nevertheless, the literature analysis outlines many indications of weakness that persist in these models. This study suggests a novel and reliable model that bolsters the data security gathered by WSN and keeps it on health centre server (HCS) databases. This model makes use of the integration of many security techniques, such as the use of randomness (true random number generator (TRNG)) and symmetric cryptography (ChaCha20) for encryption, as well as the incorporation of the GLUON function into the data non-modification process. Suitable process and thoughtful application of these techniques shield and conceal user data from prying eyes. Investigational comparisons, security studies on blackhole, Hello flood, grayhole, sinkhole, and wormhole, and thorough results show that the suggested model is better than earlier models.