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Ergebnis der Suche nach: tit all "An Intrusion-Detection Model"
im Bestand: Gesamter Bestand

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Artikel 11 An edge-enhanced graphSAGE-based intrusion detection model for the internet of things
Enthalten in Cluster computing Bd. 28, 28.4.2025, Nr. 5, date:10.2025: 1-16
Online Ressource
Artikel 12 An efficient intrusion detection model based on convolutional spiking neural network
Enthalten in Scientific reports Bd. 14, 25.3.2024, Nr. 1, date:12.2024: 1-20
Online Ressource
Artikel 13 An enhanced attention and dilated convolution-based ensemble model for network intrusion detection system against adversarial evasion attacks
Enthalten in Peer-to-peer networking and applications Bd. 18, 24.5.2025, Nr. 4, date:7.2025: 1-30
Online Ressource
Artikel 14 An Intelligent Tree-Based Intrusion Detection Model for Cyber Security
Enthalten in Journal of network and systems management Bd. 29, 21.2.2021, Nr. 2, date:4.2021: 1-18
Online Ressource
Artikel 15 An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks
Enthalten in Scientific reports Bd. 15, 14.1.2025, Nr. 1, date:12.2025: 1-22
Online Ressource
Artikel 16 An optimal and secure environment for intrusion detection using hybrid optimization based ResNet 101-C model
Enthalten in Peer-to-peer networking and applications Bd. 16, 24.7.2023, Nr. 5, date:9.2023: 2307-2324
Online Ressource
Artikel 17 An optimized LSTM-based deep learning model for anomaly network intrusion detection
Enthalten in Scientific reports Bd. 15, 10.1.2025, Nr. 1, date:12.2025: 1-21
Online Ressource
Artikel 18 An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework
Enthalten in Neural computing & applications Bd. 35, 10.3.2023, Nr. 15, date:5.2023: 11459-11475
Online Ressource
Artikel 19 BOC-PDO: an intrusion detection model using binary opposition cellular prairie dog optimization algorithm
Enthalten in Cluster computing Bd. 27, 20.7.2024, Nr. 10, date:12.2024: 14417-14449
Online Ressource
Artikel 20 CRGT-SA: an interlaced and spatiotemporal deep learning model for network intrusion detection
Enthalten in Frontiers of information technology & electronic engineering Bd. 26, 1.8.2025, Nr. 7, date:7.2025: 1115-1130
Online Ressource


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