Fog Computing with Optimized Block Chain Technique for IoT Based Data Security
G Dhanya, S. Maria Celestin Vigila · 2023
The Internet of Things (IoT) for medical purposes offers a number of benefits, including the aptitude to follow the individual's physical state over a range of time intervals and transmitting data in real time. Using gadgets like glucose meters, heart monitoring implants, Electrocardiogram (ECG), blood pressure monitors, Electroencephalography (EEG) and Electromyography (EMG) wearable strategies, medical personnel can gather local patient wellness data and make choices based on it. The IoT devices' weak authentication and encryption procedures make them readily hackable and may expose users to a number of risks, some of which could be fatal. The Quality of Service (QoS) needs for healthcare IoT devices, such as dependability, authorization, identity and security, cannot be met by current algorithms using machine learning or blockchain approaches operating in the cloud computing environment. Henceforth the proposed work develops an advanced Fog computing (FC) to oppose advance cloud computing at an edge of networks together with Block chain topology. Fog computing has been emphasized as promising method for low-cost remote monitoring, limiting down on latency, and boosting efficiency, while blockchain has been touted for guaranteeing the security of private data, building a decentralized database, and improving data interoperability. The problem of healthcare IoT device recognition, permission and confirmation for scalability often broadcast of data in a distributed setting can be handled by merging FC with block chain. So, leveraging FC and blockchain, a creative solution to the aforementioned issue.