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Optimization of network intrusion detection processes. [PDF]
, 2018 Intrusion Detection (Einbrucherkennung) ist ein Konzept aus dem Bereich der IT-Sicherheit. Netzwerk-Einbrucherkennungssysteme (NIDS) werden in Ergänzung zu präventiven Maßnahmen, wie z.B. Firewalls, eingesetzt um automatisiert Angriffe auf Computernetze und Endsysteme zu erkennen.
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Adaptive Clustering for Network Intrusion Detection
2004A major challenge in network intrusion detection is how to perform anomaly detection. In practice, the characteristics of network traffic are typically non-stationary, and can vary over time. In this paper, we present a solution to this problem by developing a time-varying modification of a standard clustering technique, which means we can ...
Joshua Oldmeadow +2 more
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Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey
IEEE Communications Surveys and Tutorials, 2023Ke He +2 more
exaly
On Network Monitoring for Intrusion Detection
PIK - Praxis der Informationsverarbeitung und Kommunikation, 2012Tobias Limmer, Falko Dressler
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SeDID: An SGX-enabled decentralized intrusion detection framework for network trust evaluation
Information Fusion, 2021Gao Liu, Zheng Yan, Wei Feng
exaly
Hierarchical Autoencoder for Network Intrusion Detection
ICC 2022 - IEEE International Conference on Communications, 2022Hyoseon Kye, Miru Kim, Minhae Kwon
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Autoencoder-based deep metric learning for network intrusion detection
Information Sciences, 2021Giuseppina Andresini +2 more
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Intrusion Detection Framework in IoT Networks
SN Computer Science, 2023Soumya Bajpai +2 more
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