Federated intelligence of anomaly detection agent in IoTMD-enabled Diabetes Management Control System-Reference-Cited by-同舟云学术

Federated intelligence of anomaly detection agent in IoTMD-enabled Diabetes Management Control System

Published:2022-03 Issue: Volume:128 Page:395-405
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Astillo Philip Virgil,Duguma Daniel Gerbi,Park Hoonyong,Kim Jiyoon^ORCID,Kim Bonam,You Ilsun

Funder

National Research Foundation of Korea

Kementerian Pendidikan Malaysia

Soonchunhyang University

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference58 articles.

1. Artificial intelligence: The future for diabetes care;Ellahham;Am. J. Med.,2020

2. Artificial Intelligence (AI) applications for COVID-19 pandemic;Vaishya;Diabetes Metab. Syndr.: Clin. Res. Rev.,2020

3. The use of mobile phones to monitor the status of patients with Parkinson’s disease;Shichkina;J. Wirel. Mob. Netw. Ubiquitous Comput. Dependable Appl. (JoWUA),2020

4. A belief rule based expert system to assess hypertension under uncertainty;Hossain;J. Internet Serv. Inf. Secur. (JISIS),2019

5. Current trends of digital solutions for diabetes management;Neborachko;Diabetes Metab. Syndr.: Clin. Res. Rev.,2019

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FEDSA-ResnetV2: An Efficient Intrusion Detection System for Vehicle Road Cooperation Based on Federated Learning;IEEE Internet of Things Journal;2024-09-15

2. A Differentially Privacy Assisted Federated Learning Scheme to Preserve Data Privacy for IoMT Applications;IEEE Transactions on Network and Service Management;2024-08

3. FLHB-AC: Federated Learning History-Based Access Control Using Deep Neural Networks in Healthcare System;Journal of Information Systems and Telecommunication (JIST);2024-06-24

4. Securing the Internet of Things in Logistics;Advances in Logistics, Operations, and Management Science;2024-04-12

5. Anomaly detection for space information networks: A survey of challenges, techniques, and future directions;Computers & Security;2024-04