Toward Improving Internet of Things (IoT) Networks Security Using Machine Learning Based Intrusion Detection System
Author:
Affiliation:
1. Mohammed V University,ENSIAS,Rabat,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10296133/10296111/10296112.pdf?arnumber=10296112
Reference20 articles.
1. A Survey on Machine Learning Based Detection on DDoS Attacks for IoT Systems
2. Classifying Security Attacks in IoT Networks Using Supervised Learning
3. Hybrid Machine Learning for Network Anomaly Intrusion Detection
4. An Intrusion Detection Method Using Few-Shot Learning
5. Improving the Performance of Machine Learning-Based Network Intrusion Detection Systems on the UNSW-NB15 Dataset
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1. Upgrade Better Accuracy by Analyzing the Behavior of Classifying Algorithm to Detect Intrusion in Network Traffic;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16
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