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An Enhanced Design of Sparse Autoencoder for Latent Features Extraction Based on Trigonometric Simplexes for Network Intrusion Detection Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-00840-6_16openalex-snapshot
Intrusion Detection with Comparative Analysis of Supervised Learning Techniques and Fisher Score Feature Selection Algorithm
inferredcites →https://doi.org/10.1007/s10710-017-9314-zopenalex-snapshot
Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
inferredcites →https://doi.org/10.1016/j.jnca.2012.09.004openalex-snapshot
Intrusion detection system: A comprehensive review
inferredcites →https://doi.org/10.1093/comjnl/7.4.308openalex-snapshot
A Simplex Method for Function Minimization
inferredcites →https://doi.org/10.1109/access.2018.2855079openalex-snapshot
Dynamic Hassan Nelder Mead with Simplex Free Selectivity for Unconstrained Optimization
inferredcites →https://doi.org/10.1109/access.2018.2875045openalex-snapshot
Distributed Abnormal Behavior Detection Approach Based on Deep Belief Network and Ensemble SVM Using Spark
inferredcites →https://doi.org/10.1109/ibigdelft.2018.8625318openalex-snapshot
Intrusion Detection System with Recursive Feature Elimination by Using Random Forest and Deep Learning Classifier
inferredcites →https://doi.org/10.1109/ibigdelft.2018.8625370openalex-snapshot
Detecting Port Scan Attempts with Comparative Analysis of Deep Learning and Support Vector Machine Algorithms
inferredcites →https://doi.org/10.1109/isncc.2019.8909140openalex-snapshot
Efficient Network Intrusion Detection Using PCA-Based Dimensionality Reduction of Features
inferredcites →https://doi.org/10.1109/lsens.2018.2879990openalex-snapshot
Deep and Machine Learning Approaches for Anomaly-Based Intrusion Detection of Imbalanced Network Traffic
inferredcites →https://doi.org/10.1109/sisy.2017.8080566openalex-snapshot
Evaluation of machine learning algorithms for intrusion detection system
inferredcites →https://doi.org/10.1186/s40537-019-0219-yopenalex-snapshot
Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage
inferredcites →https://doi.org/10.13016/m2g737680openalex-snapshot
A Comparison of Header and Deep Packet Features when Detecting Network Intrusions
inferredcites →https://doi.org/10.1371/journal.pone.0155781openalex-snapshot
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
inferredcites →https://doi.org/10.14722/ndss.2018.23191openalex-snapshot
Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations
inferredcites →https://doi.org/10.14722/ndss.2018.23204openalex-snapshot
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
inferredcites →https://doi.org/10.3390/a10020039openalex-snapshot
From Intrusion Detection to an Intrusion Response System: Fundamentals, Requirements, and Future Directions
inferredcites →https://doi.org/10.3390/e19060242openalex-snapshot
A Framework for Designing the Architectures of Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/electronics8030322openalex-snapshot
Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection
inferredcites →https://doi.org/10.5220/0006639801080116openalex-snapshot
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Comparative Study of Hybrid Machine Learning Algorithms for Network Intrusion Detection
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An ensemble approach-based intrusion detection system utilizing ISHO-HBA and SE-ResNet152
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Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM
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A New Random Forest and Support Vector Machine-based Intrusion Detection Model in Networks
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2023.108929openalex-snapshot
Optimizing intrusion detection in industrial cyber-physical systems through transfer learning approaches
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Deep residual convolutional neural Network: An efficient technique for intrusion detection system
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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones
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Unsupervised network traffic anomaly detection with deep autoencoders
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The Effects of Rain on Terrestrial Links at K, Ka and E-Bands in South Korea: Based on Supervised Learning
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Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results
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Centimeter and Millimeter-Wave Propagation Characteristics for Indoor Corridors: Results From Measurements and Models
inferred← citeshttps://doi.org/10.1109/access.2024.3362794openalex-snapshot
Weighted Feature Selection for Machine Learning Based Accurate Intrusion Detection in Communication Networks
inferred← citeshttps://doi.org/10.1109/csci51800.2020.00031openalex-snapshot
Network Intrusion Detection with XGBoost and Deep Learning Algorithms: An Evaluation Study
inferred← citeshttps://doi.org/10.1109/cybercomp60759.2024.10913862openalex-snapshot
Enhancing Network Intrusion Detection for Big Datasets with Hybrid Deep Learning: A SWIN Transformer and VGG19
inferred← citeshttps://doi.org/10.1109/ei256261.2022.10116191openalex-snapshot
A Real-time Intrusion Detection Method for Industrial Control Network Based on Heterogeneous Feature Extractor
inferred← citeshttps://doi.org/10.1109/iccr56254.2022.9996040openalex-snapshot
Determine the optimal Hidden Layers and Neurons in the Generative Adversarial Networks topology for the Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/smarttechcon57526.2023.10391679openalex-snapshot
A Novel Distributed Anomaly Intrusion Detection Model for Drone Swarm Network in Smart Nations
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Malicious Traffic Detection in IoT via Improved Graph Attention Network and Multi-Network Fusion
inferred← citeshttps://doi.org/10.1155/2020/2835023openalex-snapshot
An Intrusion Detection Method Based on Decision Tree-Recursive Feature Elimination in Ensemble Learning
inferred← citeshttps://doi.org/10.1155/2020/8890306openalex-snapshot
DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System
inferred← citeshttps://doi.org/10.1155/2022/3359721openalex-snapshot
Front‐End Model of Wireless Network Combined with Artificial Intelligence in Computer Information Management System
inferred← citeshttps://doi.org/10.32604/cmc.2021.017665openalex-snapshot
Enhanced Deep Autoencoder Based Feature Representation Learning for Intelligent Intrusion Detection System
inferred← citeshttps://doi.org/10.3390/app15031552openalex-snapshot
A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance
inferred← citeshttps://doi.org/10.3390/electronics10162030openalex-snapshot
Rain Attenuation Scaling in South Korea: Experimental Results and Artificial Neural Network
inferred← citeshttps://doi.org/10.3390/electronics10212633openalex-snapshot
Internet of Drones Intrusion Detection Using Deep Learning
inferred← citeshttps://doi.org/10.3390/electronics11040667openalex-snapshot
A Deep Learning-Based Smart Framework for Cyber-Physical and Satellite System Security Threats Detection
inferred← citeshttps://doi.org/10.3390/electronics11203326openalex-snapshot
Deep Learning-Based Intrusion Detection Methods in Cyber-Physical Systems: Challenges and Future Trends
inferred← citeshttps://doi.org/10.3390/electronics12020419openalex-snapshot
Incorporating Derivative-Free Convexity with Trigonometric Simplex Designs for Learning-Rate Estimation of Stochastic Gradient-Descent Method
inferred← citeshttps://doi.org/10.3390/electronics9111963openalex-snapshot
Integrating Enhanced Sparse Autoencoder-Based Artificial Neural Network Technique and Softmax Regression for Medical Diagnosis
inferred← citeshttps://doi.org/10.7287/peerj-cs.960v0.1/reviews/1openalex-snapshot
Peer Review #1 of "High-dimensional normalized data profiles for testing derivative-free optimization algorithms (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.960v0.1/reviews/2openalex-snapshot
Peer Review #2 of "High-dimensional normalized data profiles for testing derivative-free optimization algorithms (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.960v0.2/reviews/1openalex-snapshot
Peer Review #1 of "High-dimensional normalized data profiles for testing derivative-free optimization algorithms (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.960v0.2/reviews/2openalex-snapshot
Peer Review #2 of "High-dimensional normalized data profiles for testing derivative-free optimization algorithms (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.960v0.3/reviews/1openalex-snapshot
Peer Review #1 of "High-dimensional normalized data profiles for testing derivative-free optimization algorithms (v0.3)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.3954openalex-snapshot
Hybrid deep neuro-bagging with attention-driven ensemble optimization for enhanced security threat detection
inferred← citeshttps://doi.org/10.7717/peerj-cs.960openalex-snapshot
High-dimensional normalized data profiles for testing derivative-free optimization algorithms
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