Hybrid Intrusion Detection Technique for Malicious Network Attacks with Machine Learning
Author:
Affiliation:
1. University of Calabar,Department of Computer Science,Calabar,Nigeria
2. Cross River University of Technology,Department of Computer Science,Calabar,Nigeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9872524/9872533/09872561.pdf?arnumber=9872561
Reference28 articles.
1. χ2-BidLSTM: A Feature Driven Intrusion Detection System Based on χ2 Statistical Model and Bidirectional LSTM
2. Generative adversarial networks: introduction and outlook
3. DRaNN: A Deep Random Neural Network Model for Intrusion Detection in Industrial IoT
4. Artificial Intelligence Based Intrusion Detection System for IEC 61850 Sampled Values Under Symmetric and Asymmetric Faults
5. Intrusion Detection Systems Based on Machine Learning Algorithms
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