Intrusion Detection and Prevention System AI Based Features with Random Forest
Author:
Affiliation:
1. Ural Federal University,Department of Big Data Analytics and Methods of Videoanalysis,Ekaterinburg,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10583969/10583970/10584056.pdf?arnumber=10584056
Reference9 articles.
1. A Cooperative and Hybrid Network Intrusion Detection Framework in Cloud Computing Based on Snort and Optimized Back Propagation Neural Network
2. An Efficient Fuzzy-Based Hybrid System to Cloud Intrusion Detection
3. Performance comparison of intrusion detection systems and application of machine learning to Snort system
4. A Realistic Experimental Comparison of the Suricata and Snort Intrusion-Detection Systems
5. Performance Evaluation Study of Intrusion Detection Systems
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