A New IDS for Smart Home based on Machine Learning
Author:
Affiliation:
1. University of Jeddah,Cybersecurity Department,Jeddah,Saudi Arabia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008224/10008233/10008310.pdf?arnumber=10008310
Reference24 articles.
1. On the effectiveness of machine and deep learning for cyber security
2. A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions
3. DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
4. Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
5. Network intrusion detection system: A systematic study of machine learning and deep learning approaches
Cited by 4 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. Securing Smart Homes Using Hybrid Stacking Ensemble Deep Learning-Enabled Framework;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27
2. IoT Protocol-Enabled IDS based on Machine Learning;Engineering, Technology & Applied Science Research;2023-12-05
3. Simulation Environment for the Evaluation of Lightweight Intrusion Detection Systems;2023 IEEE 34th International Symposium on Software Reliability Engineering Workshops (ISSREW);2023-10-09
4. Anomaly-based cyberattacks detection for smart homes: A systematic literature review;Internet of Things;2023-07
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