Enhanced Network Intrusion Detection System Using PCGSO-Optimized BI-GRU Model in AI-Driven Cybersecurity
Author:
Affiliation:
1. University of North Texas,Department of Data Science,USA
2. Jain University-Global Campus,Department of ISE,Bangalore,India
3. SRM Institute of Science and Technology,Department of Data Science and Business Systems,Kattankulathur,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10433797/10433798/10443675.pdf?arnumber=10443675
Reference25 articles.
1. Network intrusion detection system: A systematic study of machine learning and deep learning approaches
2. Intrusion detection system in cloud environment: Literature survey & future research directions
3. Towards a Standard Feature Set for Network Intrusion Detection System Datasets
4. REVIEW OF EXISTING DATA SETS FOR NETWORK INTRUSION DETECTION SYSTEM
5. A Detailed Analysis of Benchmark Datasets for Network Intrusion Detection System
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1. Fine-Tuning CNN-BiGRU for Intrusion Detection with SMOTE Optimization Using Optuna;Salud, Ciencia y Tecnología - Serie de Conferencias;2024-01-01
2. Novel Approach to Intrusion Detection: Introducing GAN-MSCNN-BILSTM with LIME Predictions;Data and Metadata;2023-01-01
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