ChOs_LSTM: Chebyshev Osprey Optimization-Based Model for Detecting Attacks
Author:
Affiliation:
1. University of the Cumberlands,Department of Information Technology,Williamsburg,USA
2. PSN College of Engineering and Technology,Department of Electrical and Electronics Engineeing,Tirunelveli,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574534/10574536/10574586.pdf?arnumber=10574586
Reference15 articles.
1. Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability
2. Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
3. Security for the Metaverse: Blockchain and Machine Learning Techniques for Intrusion Detection
4. M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning
5. Intrusion Detection System for Autonomous Vehicles Using Non-Tree Based Machine Learning Algorithms
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