ABSTRACT
The development of cloud technology is a fundamental idea for offering unfettered access to many different sources in the planning of the networking, memory, infrastructure, and software. Computers are becoming more and more widespread across a wide range of industries due to their numerous advantages, notably in the healthcare industry. Typically, it is essential to the interchange of health information. In light of the ongoing issues with password security, sending private medical information via the internet still raises serious privacy concerns. Whether or whether they have complete permission, patients are not forced to divulge any of their private or personal information. This article examines several noteworthy recent studies that address the problems of password security and data privacy for cloud-based health services. These compare the benefits and drawbacks of different physical access preservation techniques. The paper also proposes a combined authentication procedure based on RFDE models. Cloud security is usually greatly hampered by the necessity for information privacy in an effort to protect sensitive and non-sensitive data for decision-making and to solve the problem of information leakage. One of the most challenging parts of the transfer of personal health records (PHRs) to the cloud is the reuse and exchange of accurate, complete medical evidence. When PHRs are outsourced to third-party businesses, such as cloud services, they are often used as patient-centered, private ways of exchanging health information. Data about a particular PHR doctor is coded for protection before being sent to the cloud. However, there are still substantial barriers due to issues with security, things that can be improved, lawful consumer privacy portfolio management, efficiency, and regulation over sensitive and non-sensitive data kept in the cloud. The PHR file may be encrypted using the Rail Fence Data Encryption (RFDE) technique to provide strong confidentiality rules and enable PHR and modular connectivity control to perform at their very best. Unauthorized users are managed to stop from accessing information with the aid of the transposition cypher, also used by RFDE and known as 'zigzag encryption.' The recommended technique generates the secret key while encrypting the PHR information. The recipient decrypts the PHR data using the private key. The algorithm works brilliantly in comparison to the prior strategy. © 2022 IEEE.
ABSTRACT
Healthcare-associated infections (HAI) are a primary concern in critical care units, dialysis centers, and nursing stations. Practicing Alcohol-Based Hand Hygiene (ABH) is predicted to reduce the risk of disease transmission. Recent technological breakthroughs in the Internet of Things (IoT) and Long Range communication (LoRa) protocols provide cutting-edge solutions to reduce HAIs, particularly community and hospital-acquired pneumonia. This research uses an IoT-enabled LoRa network to monitor and track hand hygiene practices to avoid pneumonia and other HAI infections. The ABH dispenser can recognize the subjects, activate the hand sanitizer, permit the subject admission, and record hand-washing activities to a server powered by an NVIDIA Jetson Nano Graphical Processing Unit computer. All the data, with a user ID and GPS location, is deployed in a cloud server and an application server for storage and display and relayed to a LoRa gateway using the ESP32 IoT platform equipped with a LoRaWAN and short-range Bluetooth Low Energy. A series of field tests was conducted in various hospital buildings and simulated scenarios. Real-world LoRa network situations have brought an overall success rate of 92%, whereas laboratory testing has an overall success rate of 98%. As individuals grew more conscious of the need for personal and institutional hygiene during the Covid-19 pandemic, the frequency of HAIs increased. The IoT-enabled intelligent ABH network is a cost-effective infection prevention and control mechanism, and it reduces pneumonia, HAI rate, and stress of healthcare workers and critical care unit patients. © 2022 Science Press. All rights reserved.