Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things
Author:
Affiliation:
1. LS2N, Nantes University, Nantes, France
2. IOGS, CNRS, UMR 5516, LaHC, University Jean Monnet, Saint-Etienne, France
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9944026/09729433.pdf?arnumber=9729433
Reference26 articles.
1. An Ensemble Multi-View Federated Learning Intrusion Detection for IoT
2. DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems
3. DÏoT: A federated self-learning anomaly detection system for IoT;nguyen;Proc IEEE 39th Int Conf Distrib Comput Syst,0
4. IoT defender: A federated transfer learning intrusion detection framework for 5G IoT;fan;Proc IEEE 14th Int Conf Big Data Sci Eng,0
5. Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT Edge Devices
Cited by 52 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. Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things;Journal of Network and Computer Applications;2024-09
2. Securing IIoT operations with recurrent federated network-based enhanced local search grasshopper;Neural Computing and Applications;2024-08-06
3. Automated federated learning for intrusion detection of industrial control systems based on evolutionary neural architecture search;Computers & Security;2024-08
4. Dynamic Smartcard Protection and SSELUR-GRU-Based Attack Stage Identification in Industrial IoT;Journal of Electronic Testing;2024-07-30
5. A Survey on the Applications of Semi-supervised Learning to Cyber-security;ACM Computing Surveys;2024-06-22
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