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A Deep Learning Approach for Network Intrusion Detection Using a Small Features Vector
Published 2023-08-01Get full text
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Performance Comparison of Random Forest and Decision Tree Algorithms for Anomaly Detection in Networks
Published 2024-11-01Get full text
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Reinforcing Network Security: Network Attack Detection Using Random Grove Blend in Weighted MLP Layers
Published 2024-05-01Get full text
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Recursive Feature Elimination with Cross-Validation with Decision Tree: Feature Selection Method for Machine Learning-Based Intrusion Detection Systems
Published 2023-09-01“…The reported scores are comparable to those attained by the state-of-the-art systems despite decreasing the number of utilized features by about 65%.…”
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Overview on Intrusion Detection Systems Design Exploiting Machine Learning for Networking Cybersecurity
Published 2023-06-01Get full text
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Hybrid GWQBBA model for optimized classification of attacks in Intrusion Detection System
Published 2025-03-01Get full text
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Deep learning model for intrusion detection system utilizing convolution neural network
Published 2023-08-01Get full text
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Analysis of ToN-IoT, UNW-NB15, and Edge-IIoT Datasets Using DL in Cybersecurity for IoT
Published 2022-09-01Get full text
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Semi-supervised Network Traffic Anomaly Detection Method Based on GRU
Published 2023-03-01Get full text
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Spaces in Spatial Science and Urban Applications—State of the Art Review
Published 2020-01-01Get full text
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Individualized fracture risk assessment: State-of-the-art and room for improvement
Published 2018-03-01Get full text
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Building a Cloud-IDS by Hybrid Bio-Inspired Feature Selection Algorithms Along With Random Forest Model
Published 2024-01-01“…The proposed approach was evaluated using three datasets: UNSW-NB15, CIC-DDoS2019, and CIC Bell DNS EXF 2021. …”
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