Integrating IoT, Blockchain, and Vision Transformers for Enhanced Security and Efficiency in Smart Home and Healthcare Systems

Internet of Things (IoT) and cloud computing have revolutionized various realms including healthcare, education, industries and businesses. Wearable health monitors, smart medical equipment continuously collect patients data that are sent to cloud computing that possess powerful analytical tools facilitating individuals and healthcare units in terms of personalized treatment, proactive real-time health management, remote patient monitoring. For an efficient processing, edge computing satiated in terms of analysis however this decentralized nature, edge computing is significantly targeted and exposed to security threats and cyber attacks due to inhibition of vulnerabilities and breaches in the IoT devices. This research study focuses on enhancing strengths of edge computing to insure the reliability and integrity of data by utilizing the Blockchain infrastructure. This research also utilizes the transformer models to identify the real and fake data that fosters trust in edge computing technologies.