Tree-Driven Intelligent Security System for Intrusion Detection in IoT environment
Author:
Affiliation:
1. Ibn Tofail University,Faculty of Sciences,LARI, Department of Computer Science,Kenitra,Morocco
2. Sidi Mohamed Ben Abdellah University,Faculty of Sciences Dhar El Mahraz,Fez,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10322877/10322879/10322954.pdf?arnumber=10322954
Reference32 articles.
1. Adversarial machine learning in Network Intrusion Detection Systems
2. A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model
3. SMOTE: Synthetic Minority Over-sampling Technique
4. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
5. A distributed ensemble design based intrusion detection system using fog computing to protect the internet of things networks
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