NORMA eResearch @NCI Library

A Secure and Privacy Preserving Telehealth Solution in Fog Based Environment

Gopalan, Srijeet, Verma, Rohit and Jaswal, Shivani (2023) A Secure and Privacy Preserving Telehealth Solution in Fog Based Environment. In: 2023 3rd International Conference on Smart Data Intelligence (ICSMDI). IEEE, Trichy, India, pp. 38-47.

Full text not available from this repository.
Official URL: https://doi.org/10.1109/ICSMDI57622.2023.00016

Abstract

The emergence of smart health facilitates readily available healthcare services. Increased demand for medical services, on the other hand, necessitates additional computing and storage resources near patients/users for smart sensing, analysis and processing. Fog Computing (FC) is a rapidly evolving field, which is considered as a valuable addition to the cloud to address issues such as unpredictable latency, resource constraints, confidentiality, and easy accessibility. Since information can be easily stored and assessed relatively close to sources of information on native fog nodes, it is relatively safe as compared to cloud computing. Still, the existing fog models face number of challenges, and focuses on one of two things: accuracy of data obtained or low turnaround time, not both. This paper proposes SPATS, a Secure AES encryption enabled Privacy Assured Telehealth System that addresses privacy and security threats in a fog environment by integrating stacking classifier in fog devices and deploying it in a real-world application of automatic health analysis. The AES encryption technology is used to ensure privacy and security from attackers while sensitive data is stored in cloud. A detailed experimentation and analysis have been done using EHR dataset from real-world medical services to assess the performance of SPATS. The results of the experiments reveal that the proposed system accurately predicts the health condition. When compared to existing machine learning techniques, the suggested approach achieves a better prediction accuracy.

Item Type: Book Section
Uncontrolled Keywords: Privacy; Cloud computing; Telemedicine; Stacking; Smart healthcare; Machine learning; Security
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Cloud computing
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
H Social Sciences > HM Sociology > Information Science > Communication > Medical Informatics
Divisions: School of Computing > Staff Research and Publications
Depositing User: Tamara Malone
Date Deposited: 23 Feb 2024 11:30
Last Modified: 23 Feb 2024 15:38
URI: https://norma.ncirl.ie/id/eprint/6965

Actions (login required)

View Item View Item