Adaptive Machine Learning Based Network Intrusion Detection
Author:
Affiliation:
1. Rhodes University, South Africa
Funder
National Research Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3487923.3487938
Reference14 articles.
1. K. Atefi H. Hashim and M. Kassim. 2019. Anomaly Analysis for the Classification Purpose of Intrusion Detection System with K-Nearest Neighbors and Deep Neural Network. In 2019 IEEE 7th Conference on Systems Process and Control (ICSPC). Institute of Electrical and Electronics Engineers (IEEE) USA 269--274. K. Atefi H. Hashim and M. Kassim. 2019. Anomaly Analysis for the Classification Purpose of Intrusion Detection System with K-Nearest Neighbors and Deep Neural Network. In 2019 IEEE 7th Conference on Systems Process and Control (ICSPC). Institute of Electrical and Electronics Engineers (IEEE) USA 269--274.
2. Support vector machines for histogram-based image classification
3. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
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