作者
Pranshav Gajjar, Shivani Desai, Akash Vegada, Pooja Shah, Tarjni Vyas
发表日期
2023/6/16
期刊
Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions
页码范围
169
出版商
CRC Press
简介
The world as we know it in this day and age is being increasingly affected by imminent technologies. Many technologies have become so paramount that they maintain unparalleled influence over people’s lives. With the evolution of information technology (IT), its in-depth understanding has advanced as well, increasing the threat to data security and becoming the foremost concern for any institution. Domains such as healthcare informatics and defence become particularly vulnerable to data breaches. With the number of data infringements on the rise, the need is felt to reinforce the network to make data communication more secure and reliable. Data security encompasses varying levels of protection such as encryption, authentication, intrusion detection, virtual private networks (VPNs), and many more, with the primary pursuit of ensuring the integrity and privacy of the data. The healthcare information domain is an industry that relies immensely on data security, and its development has witnessed the enhancement of the healthcare system in almost every aspect [1]. Healthcare information systems are one of the most significant factors in improving the quality
学术搜索中的文章
P Gajjar, S Desai, A Vegada, P Shah, T Vyas - Federated Learning for Internet of Medical Things …, 2023