Enhancing Security For Sensitive Medical Data In Iot-Based Healthcare Systems

Abstract

The internet of things (IoT) offers huge advantages to healthcare, allowing closer affected person monitoring and facts 
evaluation. Integrating scientific gadgets like glucose meters and blood strain cuffs into the IoT environment allows the 
collection of essential signs. but, securing healthcare data in IoT-cloud environments is a main task because of vulnerabilities 
and assaults. artificial intelligence (AI) era is increasingly more used to enhance information security in such settings, but 
it faces demanding situations like computational complexity and excessive sensor charges. To deal with these problems, this 
observe proposes Probabilistic incredible mastering-(PSL-) Arbitrary Hashing (RH), an AI-based totally method, aiming to 
enhance both safety and fee- effectiveness in IoT healthcare records management.