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Ergebnis der Suche nach: tit all "An Intrusion-Detection Model"
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Artikel 11 An adaptive model of a distributed intrusion detection system
Enthalten in Automatic control and computer sciences Bd. 51, 1.3.2018, Nr. 8, date:12.2017: 894-898
Online Ressource
Artikel 12 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 13 An effective hybrid deep learning metaheuristic model for robust IoT intrusion detection
Enthalten in Discover computing Bd. 28, 19.9.2025, Nr. 1, date:12.2025: 1-31
Online Ressource
Artikel 14 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
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Artikel 15 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 16 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
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Artikel 17 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 18 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 19 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
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Artikel 20 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


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