Survey of Machine Learning based intrusion detection methods for Internet of Medical Things-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Survey of Machine Learning based intrusion detection methods for Internet of Medical Things

Published:2023-06 Issue: Volume:140 Page:110227
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Si-Ahmed Ayoub^ORCID,Al-Garadi Mohammed Ali^ORCID,Boustia Narhimene^ORCID

Publisher

Elsevier BV

Subject

Software

Reference114 articles.

1. A state of the art review on the Internet of Things (IoT) history, technology and fields of deployment;Suresh,2014

2. Internet of things,2022

3. Global IoT market to grow to 24.1 billion devices in 2030, generating $1.5 trillion annual revenue,2022

4. Embracing healthcare 4.0,2022

5. A novel deep learning strategy for classifying different attack patterns for deep brain implants;Rathore;IEEE Access,2019

Cited by 46 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. Federated Bayesian optimization XGBoost model for cyberattack detection in internet of medical things;Journal of Parallel and Distributed Computing;2024-11

2. Optimized Intrusion Detection for IoMT Networks with Tree-Based Machine Learning and Filter-Based Feature Selection;Sensors;2024-09-02

3. An interval-valued spherical fuzzy CIMAS-WISP group decision-analytic model for blockchain platform selection in digital projects;Applied Soft Computing;2024-09

4. Fair XIDS: Ensuring fairness and transparency in intrusion detection models;Concurrency and Computation: Practice and Experience;2024-08-26

5. Towards robust and efficient intrusion detection in IoMT: a deep learning approach addressing data leakage and enhancing model generalizability;Multimedia Tools and Applications;2024-07-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3