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  • Search: subject:"Intrusion detection system"
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Subject
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Artificial intelligence 3 Internet der Dinge 3 Internet of things 3 Intrusion detection system 3 Künstliche Intelligenz 3 Machine learning 3 Classification 2 Internet of Things 2 Klassifikation 2 Algorithm 1 Algorithmus 1 Attack classification 1 Data security 1 Datensicherheit 1 Deep neural network 1 Forecasting model 1 IoT 1 Naive Bayes classifier 1 Netflow-based dataset 1 Neural networks 1 Neuronale Netze 1 Prognoseverfahren 1 Real-time 1 Scaling method 1 Theorie 1 Theory 1 Unsupervised elliptic envelope 1
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CC license 3 Free 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Kesswani, Nishtha 2 Vishwakarma, Monika 2 Barik, Ram Chandra 1 Biswal, Anil Kumar 1 Samantaray, Milan 1
Published in...
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Decision analytics journal 3
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems
Samantaray, Milan; Barik, Ram Chandra; Biswal, Anil Kumar - In: Decision analytics journal 11 (2024), pp. 1-16
The rapid increase in online risks is a reflection of the exponential growth of Internet of Things (IoT) networks. Researchers have proposed numerous intrusion detection techniques to mitigate the harm caused by these threats. Enterprises use intrusion detection systems (IDSs) and intrusion...
Persistent link: https://www.econbiz.de/10015107880
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A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection
Vishwakarma, Monika; Kesswani, Nishtha - In: Decision analytics journal 7 (2023), pp. 1-8
Internet of Things (IoT), demonstrates an impressive performance in fast-forward development. Intrusion Detection System (IDS …
Persistent link: https://www.econbiz.de/10014436765
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DIDS : a Deep Neural Network based real-time Intrusion detection system for IoT
Vishwakarma, Monika; Kesswani, Nishtha - In: Decision analytics journal 5 (2022), pp. 1-9
anomaly-based Intrusion Detection System (IDS) is used to identify and categorize assaults. Machine Learning (ML) and Deep … this article, we have proposed a deep neural network-based intrusion detection system to identify malicious packets in real …
Persistent link: https://www.econbiz.de/10014337042
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