Fusion of Feature Selection Techniques and Machine learning Algorithms for Attack Classification on 802.11 Wi-Fi AWID Dataset
Author:
Affiliation:
1. Indian Institute of Technology,Department of Computer Science & Engineering,Patna,India,801103
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10183386/10183387/10183427.pdf?arnumber=10183427
Reference18 articles.
1. Attack Detection for Wireless Enterprise Network: a Machine Learning Approach
2. An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks
3. Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection
4. A deep learning method with wrapper based feature extraction for wireless intrusion detection system;kasongo;Computers & Security,2020
5. Effective Features Selection and Machine Learning Classifiers for Improved Wireless Intrusion Detection
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