Self-Configurable Cyber-Physical Intrusion Detection for Smart Homes Using Reinforcement Learning-Reference-Cited by-同舟云学术

Self-Configurable Cyber-Physical Intrusion Detection for Smart Homes Using Reinforcement Learning

Published:2021 Issue: Volume:16 Page:1720-1735
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Heartfield Ryan^ORCID,Loukas George^ORCID,Bezemskij Anatolij,Panaousis Emmanouil^ORCID

Funder

European Coordinated Research on Long-term Challenges in Information and Communication Sciences and Technologies ERA-NET (CHIST-ERA), under Project COCOON

EPSRC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/9151439/09277640.pdf?arnumber=9277640

Cited by 60 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. Automated Machine Learning Configuration to Learn Intrusion Detectors on Attack-Free Datasets;2024 IEEE 49th Conference on Local Computer Networks (LCN);2024-10-08

2. Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things;Journal of Network and Computer Applications;2024-09

3. Novel Intrusion Detection Strategies With Optimal Hyper Parameters for Industrial Internet of Things Based on Stochastic Games and Double Deep Q-Networks;IEEE Internet of Things Journal;2024-09-01

4. Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects;ICT Express;2024-08

5. Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale;Proceedings of the ACM Web Conference 2024;2024-05-13