A Hybrid Slime Mould Meta Heuristic Algorithm and Machine Learning Technique for Intrusion Detection System
Author:
Affiliation:
1. Computer Science and Engineering,Saveetha Engineering College Thandalam,Chennai,TamilNadu
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10527409/10527410/10527745.pdf?arnumber=10527745
Reference10 articles.
1. Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network
2. Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data
3. Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks
4. A hybrid methodology for anomaly detection in Cyber–Physical Systems
5. Metaheuristic and Data Mining Algorithms-based Feature Selection Approach for Anomaly Detection
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